You searched for subject:(State Space Model).
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Delft University of Technology
1.
Hu, Rong (author).
Reducing the Measurement Frequency of Chloride and Ammonium Concentrations in Wieringermeer Landfill Leachate via SARIMAX Model.
Degree: 2020, Delft University of Technology
URL: http://resolver.tudelft.nl/uuid:513ccfe0-8b97-4702-9ccd-6e9dd131ce63 
► Research on sustainable landfill management has been studied since 30 years ago in the Netherlands, the principle of which is to reduce the emission of…
(more)
▼ Research on sustainable landfill management has been studied since 30 years ago in the Netherlands, the principle of which is to reduce the emission of harmful substances from the landfill to the surrounding soil and groundwater. As for this purpose, the active treatment is applied on Wieringermeer landfill, meanwhile, the long-term monitoring of substance concentration is of great importance. The measurement frequency of chemical concentration is twice per month, which costs around 48000 / year. To save money by reducing the measurement frequency, SARIMAX
model is studied as a tool of data interpolation. For this analysis, we currently focus on the concentration measurements of chloride and ammonium. By comparing the SARIMAX interpolated data and the data with reduced size, the results indicate that directly dropping half of the measurements can be regarded as an acceptable way to reduce the measurement frequency, as the data properties are well preserved and the errors in estimating the mass of substances leaching out are in the acceptable range. However, interpolating using SARIMAX
model doesn’t have significant improvements in preserving the data properties. Further quartering the data can lead to large deviations in data properties.
Advisors/Committee Members: Heimovaara, Timo (mentor), Vossepoel, Femke (graduation committee), Delft University of Technology (degree granting institution).
Subjects/Keywords: SARIMAX; state space model; prediction
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APA (6th Edition):
Hu, R. (. (2020). Reducing the Measurement Frequency of Chloride and Ammonium Concentrations in Wieringermeer Landfill Leachate via SARIMAX Model. (Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:513ccfe0-8b97-4702-9ccd-6e9dd131ce63
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Chicago Manual of Style (16th Edition):
Hu, Rong (author). “Reducing the Measurement Frequency of Chloride and Ammonium Concentrations in Wieringermeer Landfill Leachate via SARIMAX Model.” 2020. Thesis, Delft University of Technology. Accessed January 22, 2021.
http://resolver.tudelft.nl/uuid:513ccfe0-8b97-4702-9ccd-6e9dd131ce63.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Hu, Rong (author). “Reducing the Measurement Frequency of Chloride and Ammonium Concentrations in Wieringermeer Landfill Leachate via SARIMAX Model.” 2020. Web. 22 Jan 2021.
Vancouver:
Hu R(. Reducing the Measurement Frequency of Chloride and Ammonium Concentrations in Wieringermeer Landfill Leachate via SARIMAX Model. [Internet] [Thesis]. Delft University of Technology; 2020. [cited 2021 Jan 22].
Available from: http://resolver.tudelft.nl/uuid:513ccfe0-8b97-4702-9ccd-6e9dd131ce63.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Hu R(. Reducing the Measurement Frequency of Chloride and Ammonium Concentrations in Wieringermeer Landfill Leachate via SARIMAX Model. [Thesis]. Delft University of Technology; 2020. Available from: http://resolver.tudelft.nl/uuid:513ccfe0-8b97-4702-9ccd-6e9dd131ce63
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
North-West University
2.
Uren, Kenneth Richard.
State space model extraction of thermohydraulic systems / Kenneth R. Uren
.
Degree: 2009, North-West University
URL: http://hdl.handle.net/10394/3838
► Many hours are spent by systemand control engineers deriving reduced order dynamicmodels portraying the dominant systemdynamics of thermohydraulic systems. A need therefore exists to develop…
(more)
▼ Many hours are spent by systemand control engineers deriving reduced order dynamicmodels
portraying the dominant systemdynamics of thermohydraulic systems. A need therefore exists
to develop a method that will automate the model derivation process. The model format
preferred for control system design and analysis during preliminary system design is the state
space format. The aim of this study is therefore to develop an automated and generic state
space model extraction method that can be applied to thermohydraulic systems.
Well developed system identification methods exist for obtaining state space models from
input-output data, but these models are not transparent, meaning the parameters do not
have any physical meaning. For example one cannot identify system parameters such
as heat or mass transfer coefficients. Another approach is needed to derive state space
models automatically. Many commercial thermohydraulic simulation codes follow a network
approach towards the representation of thermohydraulic systems. This approach is probably
one of the most advanced approaches in terms of technical development. It would therefore be
useful to develop a state space extraction algorithm that would be able to derive reduced order
state space models from network representations of thermohydraulic systems. In this regard a
network approach is followed in the development of the state space extraction algorithm. The
advantage of using a network-based extraction method is that the extracted state space model
is transparent and the algorithm can be embedded in existing simulation software that follow
a network approach.
In this study an existing state space extraction algorithm, used for electrical network analysis, is
modified and applied in a new way to extract state space models of thermohydraulic systems.
A thermohydraulic system is partitioned into its respective physical domains which, unlike
electrical systems, have multiple variables. Network representations are derived for each
domain. The state space algorithm is applied to these network representations to extract
symbolic state spacemodels. The symbolic parametersmay then be substitutedwith numerical
values. The state space extraction algorithm is applied to small scale thermohydraulic systems
such as a U-tube and a heat exchanger, but also to a larger, more complex system such
as the Pebble Bed Modular Reactor Power Conversion Unit (PBMR PCU). It is also shown
that the algorithm can extract linear, nonlinear, time-varying and time-invariant state space
models. The extracted state space models are validated by solving the state space models
and comparing the solutions with Flownex results. Flownex is an advanced and extensively
validated thermo-fluid simulation code. The state space models compared well with Flownex
results.
The usefulness of the state space model extraction algorithm in model-based control system
design is illustrated by extracting a linear time-invariant state space model of the PBMR PCU.
This model is embedded in an…
Subjects/Keywords: State space models;
Model extraction;
Thermohydraulic systems
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APA (6th Edition):
Uren, K. R. (2009). State space model extraction of thermohydraulic systems / Kenneth R. Uren
. (Thesis). North-West University. Retrieved from http://hdl.handle.net/10394/3838
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Chicago Manual of Style (16th Edition):
Uren, Kenneth Richard. “State space model extraction of thermohydraulic systems / Kenneth R. Uren
.” 2009. Thesis, North-West University. Accessed January 22, 2021.
http://hdl.handle.net/10394/3838.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Uren, Kenneth Richard. “State space model extraction of thermohydraulic systems / Kenneth R. Uren
.” 2009. Web. 22 Jan 2021.
Vancouver:
Uren KR. State space model extraction of thermohydraulic systems / Kenneth R. Uren
. [Internet] [Thesis]. North-West University; 2009. [cited 2021 Jan 22].
Available from: http://hdl.handle.net/10394/3838.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Uren KR. State space model extraction of thermohydraulic systems / Kenneth R. Uren
. [Thesis]. North-West University; 2009. Available from: http://hdl.handle.net/10394/3838
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
University of Oklahoma
3.
Hunter, Michael.
State Space Dynamic Mixture Modeling: Finding People with Similar Patterns of Change.
Degree: PhD, 2014, University of Oklahoma
URL: http://hdl.handle.net/11244/13885
► Increasingly, psychologists encounter data in which several individuals have been measured on multiple variables over numerous occasions. Many of the current methods for this situation…
(more)
▼ Increasingly, psychologists encounter data in which several individuals have been measured on multiple variables over numerous occasions. Many of the current methods for this situation combine the data, assuming everyone is a randomly equivalent to everyone else. The extreme alternative on the other side is to separately analyze each person's data, assuming no one is similar to anyone else. This dissertation proposes a method as a compromise between these two extremes. The goal of the method is to find people in the data that are undergoing similar change processes over time. Data were simulated under various conditions to explore what factors influenced the ability of the method to correctly estimate the change process and accurately find people with the same process. It was found that sample size had the greatest positive influence on parameter estimation and the dimension of the change process had the greatest positive impact on correctly grouping people together, likely due to the distinctiveness of their patterns of change. With some success in simulation, the method was applied to an archival data source reflecting cognitive growth in the National Longitudinal Survey of Youth Children data. This analysis suggested that the genetic effects operating between people on their cognitive development may be quite different from their within-person effects, but also revealed a limitation for the method on large sample sizes. Once software improvements are made to the method, its applicability to large, real data should be reevaluated.
State space mixture modeling, in its current form, offers one of the best-performing methods for simultaneously drawing conclusions about individual change processes while also analyzing multiple people.
Advisors/Committee Members: Rodgers, Joseph (advisor), Song, Hairong (advisor), Richman, Michael (committee member), Mayeux, Lara (committee member), Terry, Robert (committee member).
Subjects/Keywords: Psychology, Psychometrics.; Time Series; Dynamics; State Space Model; Independent Mixture Model
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APA ·
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Manager
APA (6th Edition):
Hunter, M. (2014). State Space Dynamic Mixture Modeling: Finding People with Similar Patterns of Change. (Doctoral Dissertation). University of Oklahoma. Retrieved from http://hdl.handle.net/11244/13885
Chicago Manual of Style (16th Edition):
Hunter, Michael. “State Space Dynamic Mixture Modeling: Finding People with Similar Patterns of Change.” 2014. Doctoral Dissertation, University of Oklahoma. Accessed January 22, 2021.
http://hdl.handle.net/11244/13885.
MLA Handbook (7th Edition):
Hunter, Michael. “State Space Dynamic Mixture Modeling: Finding People with Similar Patterns of Change.” 2014. Web. 22 Jan 2021.
Vancouver:
Hunter M. State Space Dynamic Mixture Modeling: Finding People with Similar Patterns of Change. [Internet] [Doctoral dissertation]. University of Oklahoma; 2014. [cited 2021 Jan 22].
Available from: http://hdl.handle.net/11244/13885.
Council of Science Editors:
Hunter M. State Space Dynamic Mixture Modeling: Finding People with Similar Patterns of Change. [Doctoral Dissertation]. University of Oklahoma; 2014. Available from: http://hdl.handle.net/11244/13885
University of Pretoria
4.
Muller, C.J. (Cornelius Jacobus).
Modelling, validation, and control of an industrial
fuel gas blending system
.
Degree: 2011, University of Pretoria
URL: http://upetd.up.ac.za/thesis/available/etd-08232011-113626/
► In industrial fuel gas preparation, there are several compositional properties that must be controlled within specified limits. This allows client plants to use the fuel…
(more)
▼ In industrial fuel gas preparation, there are
several compositional properties that must be controlled within
specified limits. This allows client plants to use the fuel gas
mixture safely without having to adjust and control the composition
themselves. The variables to be controlled are the Higher Heating
Value (HHV), Wobbe Index (WI), Flame Speed Index (FSI), and
Pressure (P). These variables are controlled by adjusting the
volumetric flow rates of several inlet gas streams of which some
are makeup streams (always available) and some are wild streams
that vary in composition and availability (by-products of plants).
The inlet streams need to be adjusted in the correct ratios to keep
all the controlled variables (CVs) within limits while minimising
the cost of the gas blend. Furthermore, the controller needs to
compensate for fluctuations in inlet stream compositions and total
fuel gas demand (the total discharge from the header). This
dissertation describes the modelling and
model validation of an
industrial fuel gas header as well as a simulation study of three
different
Model Predictive Control (MPC) strategies for controlling
the system while minimising the overall operating
cost.
Advisors/Committee Members: Craig, Ian K (advisor).
Subjects/Keywords: Validation;
State-space model;
Model predictive control;
Dynamic model;
Real-time optimization;
UCTD
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❌
APA ·
Chicago ·
MLA ·
Vancouver ·
CSE |
Export
to Zotero / EndNote / Reference
Manager
APA (6th Edition):
Muller, C. J. (. J. (2011). Modelling, validation, and control of an industrial
fuel gas blending system
. (Masters Thesis). University of Pretoria. Retrieved from http://upetd.up.ac.za/thesis/available/etd-08232011-113626/
Chicago Manual of Style (16th Edition):
Muller, C J (Cornelius Jacobus). “Modelling, validation, and control of an industrial
fuel gas blending system
.” 2011. Masters Thesis, University of Pretoria. Accessed January 22, 2021.
http://upetd.up.ac.za/thesis/available/etd-08232011-113626/.
MLA Handbook (7th Edition):
Muller, C J (Cornelius Jacobus). “Modelling, validation, and control of an industrial
fuel gas blending system
.” 2011. Web. 22 Jan 2021.
Vancouver:
Muller CJ(J. Modelling, validation, and control of an industrial
fuel gas blending system
. [Internet] [Masters thesis]. University of Pretoria; 2011. [cited 2021 Jan 22].
Available from: http://upetd.up.ac.za/thesis/available/etd-08232011-113626/.
Council of Science Editors:
Muller CJ(J. Modelling, validation, and control of an industrial
fuel gas blending system
. [Masters Thesis]. University of Pretoria; 2011. Available from: http://upetd.up.ac.za/thesis/available/etd-08232011-113626/
University of Pretoria
5.
Muller, C.J. (Cornelius Jacobus).
Modelling,
validation, and control of an industrial fuel gas blending
system.
Degree: Electrical, Electronic and
Computer Engineering, 2011, University of Pretoria
URL: http://hdl.handle.net/2263/27480
► In industrial fuel gas preparation, there are several compositional properties that must be controlled within specified limits. This allows client plants to use the fuel…
(more)
▼ In industrial fuel gas preparation, there are several
compositional properties that must be controlled within specified
limits. This allows client plants to use the fuel gas mixture
safely without having to adjust and control the composition
themselves. The variables to be controlled are the Higher Heating
Value (HHV), Wobbe Index (WI), Flame Speed Index (FSI), and
Pressure (P). These variables are controlled by adjusting the
volumetric flow rates of several inlet gas streams of which some
are makeup streams (always available) and some are wild streams
that vary in composition and availability (by-products of plants).
The inlet streams need to be adjusted in the correct ratios to keep
all the controlled variables (CVs) within limits while minimising
the cost of the gas blend. Furthermore, the controller needs to
compensate for fluctuations in inlet stream compositions and total
fuel gas demand (the total discharge from the header). This
dissertation describes the modelling and
model validation of an
industrial fuel gas header as well as a simulation study of three
different
Model Predictive Control (MPC) strategies for controlling
the system while minimising the overall operating cost.
Advisors/Committee Members: Craig, Ian K. (advisor).
Subjects/Keywords: Validation; State-space
model; Model
predictive control; Dynamic
model; Real-time
optimization;
UCTD
Record Details
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Record Details
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❌
APA ·
Chicago ·
MLA ·
Vancouver ·
CSE |
Export
to Zotero / EndNote / Reference
Manager
APA (6th Edition):
Muller, C. J. (. J. (2011). Modelling,
validation, and control of an industrial fuel gas blending
system. (Masters Thesis). University of Pretoria. Retrieved from http://hdl.handle.net/2263/27480
Chicago Manual of Style (16th Edition):
Muller, C J (Cornelius Jacobus). “Modelling,
validation, and control of an industrial fuel gas blending
system.” 2011. Masters Thesis, University of Pretoria. Accessed January 22, 2021.
http://hdl.handle.net/2263/27480.
MLA Handbook (7th Edition):
Muller, C J (Cornelius Jacobus). “Modelling,
validation, and control of an industrial fuel gas blending
system.” 2011. Web. 22 Jan 2021.
Vancouver:
Muller CJ(J. Modelling,
validation, and control of an industrial fuel gas blending
system. [Internet] [Masters thesis]. University of Pretoria; 2011. [cited 2021 Jan 22].
Available from: http://hdl.handle.net/2263/27480.
Council of Science Editors:
Muller CJ(J. Modelling,
validation, and control of an industrial fuel gas blending
system. [Masters Thesis]. University of Pretoria; 2011. Available from: http://hdl.handle.net/2263/27480
NSYSU
6.
Wu, Hui-shan.
Pairs Trading Strategy Based on State Space Models.
Degree: Master, Applied Mathematics, 2014, NSYSU
URL: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0731114-144500
► Pairs trading is a market-neutral investment strategy which matches its long and short investments one pair at a time. Consider two similar stocks which trade…
(more)
▼ Pairs trading is a market-neutral investment strategy which matches its long and
short investments one pair at a time. Consider two similar stocks which trade at
some spread. When the correlation between the two securities become weak, a trader
take a long position on underperforming stock, and take a short position on
outperforming one. A trader will take advantage from out of equilibrium in the
correlation, and make profit as the spread narrows again to some equilibrium value.
Based on a
state space model approach, we assume the spread follows a mean reverting
model observed with Gaussian noise.
Kalman Filter method is applied to estimate the
model parameters. Predictions from the calibrated
model are compared with subsequent
observations of the spread to determine the investment decisions. We perform an
empirical study for such an investment strategy based the
state space model approach.
A simulation study is also performed to compare the performance of the proposed
investment strategy based on different strategies.
Advisors/Committee Members: Shih-Feng Huang (chair), Fu-Chuen Chang (chair), May-Ru Chen (chair), Mei-Hui Guo (committee member), Mong-Na Lo Huang (chair).
Subjects/Keywords: cointegration; pairs trading; state space model; spread; Kalman filter
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Record Details
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APA ·
Chicago ·
MLA ·
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to Zotero / EndNote / Reference
Manager
APA (6th Edition):
Wu, H. (2014). Pairs Trading Strategy Based on State Space Models. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0731114-144500
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Chicago Manual of Style (16th Edition):
Wu, Hui-shan. “Pairs Trading Strategy Based on State Space Models.” 2014. Thesis, NSYSU. Accessed January 22, 2021.
http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0731114-144500.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Wu, Hui-shan. “Pairs Trading Strategy Based on State Space Models.” 2014. Web. 22 Jan 2021.
Vancouver:
Wu H. Pairs Trading Strategy Based on State Space Models. [Internet] [Thesis]. NSYSU; 2014. [cited 2021 Jan 22].
Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0731114-144500.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Wu H. Pairs Trading Strategy Based on State Space Models. [Thesis]. NSYSU; 2014. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0731114-144500
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
7.
Mehler, Tilman.
Challenges and applications of
assembly level software model checking.
Degree: 2006, Technische Universität Dortmund
URL: http://hdl.handle.net/2003/22435
► This thesis addresses the application of a formal method called Model Checking to the domain of software verification. Here, exploration algorithms are used to search…
(more)
▼ This thesis addresses the
application of a formal method called
Model Checking to the domain
of software verification. Here, exploration algorithms are used to
search for errors in a program. In contrast to the majority of
other approaches, we claim that the search should be applied to the
actual source code of the program, rather than to some formal
model. There are several challenges that need to be overcome to
build such a
model checker. First, the tool must be capable to
handle the full semantics of the underlying programming language.
This implies a considerable amount of additional work unless the
interpretation of the program is done by some existing
infrastructure. The second challenge lies in the increased memory
requirements needed to memorize entire program configurations. This
additionally aggravates the problem of large
state spaces that
every
model checker faces anyway. As a remedy to the first problem,
the thesis proposes to use an existing virtual machine to interpret
the program. This takes the burden off the developer, who can fully
concentrate on the
model checking algorithms. To address the
problem of large program states, we call attention to the fact that
most transitions in a program only change small fractions of the
entire program
state. Based on this observation, we devise an
incremental storing of states which considerably lowers the memory
requirements of program exploration. To further alleviate the
per-
state memory requirement, we apply
state reconstruction, where
states are no longer memorized explicitly but through their
generating path. Another problem that results from the large
state
description of a program lies in the computational effort of
hashing, which is exceptionally high for the used approach. Based
on the same observation as used for the incremental storing of
states, we devise an incremental hash function which only needs to
process the changed parts of the program’s
state. Due to the
dynamic nature of computer programs, this is not a trivial task and
constitutes a considerable part of the overall thesis. Moreover,
the thesis addresses a more general problem of
model checking - the
state explosion, which says that the number of reachable states
grows exponentially in the number of
state components. To minimize
the number of states to be memorized, the thesis concentrates on
the use of heuristic search. It turns out that only a fraction of
all reachable states needs to be visited to find a specific error
in the program. Heuristics can greatly help to direct the search
forwards the error
state. As another effective way to reduce the
number of memorized states, the thesis proposes a technique that
skips intermediate states that do not affect shared resources of
the program. By merging several consecutive
state transitions to a
single transition, the technique may considerably truncate the
search tree. The proposed approach is realized in StEAM, a
model
checker for concurrent C++ programs, which was developed in the
course of the thesis. Building on an existing
virtual…
Advisors/Committee Members: Edelkamp, Stefan.
Subjects/Keywords: Heuristic search; Software model
checking; State space reduction; 004
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APA ·
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MLA ·
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Export
to Zotero / EndNote / Reference
Manager
APA (6th Edition):
Mehler, T. (2006). Challenges and applications of
assembly level software model checking. (Thesis). Technische Universität Dortmund. Retrieved from http://hdl.handle.net/2003/22435
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Chicago Manual of Style (16th Edition):
Mehler, Tilman. “Challenges and applications of
assembly level software model checking.” 2006. Thesis, Technische Universität Dortmund. Accessed January 22, 2021.
http://hdl.handle.net/2003/22435.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Mehler, Tilman. “Challenges and applications of
assembly level software model checking.” 2006. Web. 22 Jan 2021.
Vancouver:
Mehler T. Challenges and applications of
assembly level software model checking. [Internet] [Thesis]. Technische Universität Dortmund; 2006. [cited 2021 Jan 22].
Available from: http://hdl.handle.net/2003/22435.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Mehler T. Challenges and applications of
assembly level software model checking. [Thesis]. Technische Universität Dortmund; 2006. Available from: http://hdl.handle.net/2003/22435
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
University of California – Irvine
8.
Tian, Xu.
A Time-Varying Low-Dimensional Representation for Spatio-Temporal Data.
Degree: Statistics, 2014, University of California – Irvine
URL: http://www.escholarship.org/uc/item/4v59183q
► We were motivated by the two major limitations of the current research approaches on the North Atlantic Oscillation (NAO) based on empirical orthogonal functions (EOF)…
(more)
▼ We were motivated by the two major limitations of the current research approaches on the North Atlantic Oscillation (NAO) based on empirical orthogonal functions (EOF) analysis: (i) long-term stationary assumptions; (ii) lack of measures of uncertainty, and proposed and developed a time-varying low-dimensional representation for spatio-temporal data in this thesis. The low-dimensional representation is based on a structured spatial covariance matrix using a certain number of structured basis functions with certain parametric forms. Initially, we developed the Parametric Basis Function (PBF) spatial covariance model in a stationary scenario and provided the statistical inference in both maximum likelihood and Bayesian analysis frameworks. We further extended the model by introducing time-varying parameters to develop the time-varying parametric basis function (TV-PBF) model in the state space model framework. The Bayesian approach with MCMC techniques was used to make inference for the TV-PBF model. The model is able to provide smoothly changing patterns of the 1st EOFs NAO over time which can serve as an alternative representation for the spatio-temporal NAO data.
Subjects/Keywords: Statistics; covariance matrix; EOF; NAO; state space model
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APA ·
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to Zotero / EndNote / Reference
Manager
APA (6th Edition):
Tian, X. (2014). A Time-Varying Low-Dimensional Representation for Spatio-Temporal Data. (Thesis). University of California – Irvine. Retrieved from http://www.escholarship.org/uc/item/4v59183q
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Chicago Manual of Style (16th Edition):
Tian, Xu. “A Time-Varying Low-Dimensional Representation for Spatio-Temporal Data.” 2014. Thesis, University of California – Irvine. Accessed January 22, 2021.
http://www.escholarship.org/uc/item/4v59183q.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Tian, Xu. “A Time-Varying Low-Dimensional Representation for Spatio-Temporal Data.” 2014. Web. 22 Jan 2021.
Vancouver:
Tian X. A Time-Varying Low-Dimensional Representation for Spatio-Temporal Data. [Internet] [Thesis]. University of California – Irvine; 2014. [cited 2021 Jan 22].
Available from: http://www.escholarship.org/uc/item/4v59183q.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Tian X. A Time-Varying Low-Dimensional Representation for Spatio-Temporal Data. [Thesis]. University of California – Irvine; 2014. Available from: http://www.escholarship.org/uc/item/4v59183q
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Penn State University
9.
Chen, Meng.
Dual Estimation in State Space Models with Violation to Normality: A Comparison between the Extended Kalman Filter and the Particle Filter.
Degree: 2019, Penn State University
URL: https://submit-etda.libraries.psu.edu/catalog/17297mxc681
► In the field of psychology and developmental science, researchers often study the change of some underlying latent construct over time. It is of interest both…
(more)
▼ In the field of psychology and developmental science, researchers often study the change of some underlying latent construct over time. It is of interest both to estimate the latent states that an individual is in and to extract patterns that would characterize the change process. Translated into dynamic modeling language, researchers are interested in the dual estimation of states and
model parameters. Filtering methods, such as the commonly adopted Kalman filter, can aid in this process. However, when the linear and normality assumptions of the Kalman filter is challenged, the estimates may no longer be reliable. This thesis set out to investigate how one algorithm from the Kalman filter family, the extended Kalman filter (EKF), and an alternative, simulation-based approach of particle filter, behave under the ideal condition of normality and when the normality assumption is violated, through a set of simulations. Results from simulations show, for both algorithms, overall satisfactory performance under the ideal normal condition, and frequently biased parameter estimates when the distribution of process noises was skewed. The particle-filter-associated approach slightly outperforms the EKF-associated approach when the optimization problem becomes harder. Caveats regarding the interpretation of results are discussed along with potential future research directions.
Advisors/Committee Members: Murali Haran, Thesis Advisor/Co-Advisor, Le Bao, Committee Member, Ephraim Mont Hanks, Committee Member, Ephraim Mont Hanks, Program Head/Chair.
Subjects/Keywords: state space model; Kalman filter; particle filter; dual estimation
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APA (6th Edition):
Chen, M. (2019). Dual Estimation in State Space Models with Violation to Normality: A Comparison between the Extended Kalman Filter and the Particle Filter. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/17297mxc681
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Chicago Manual of Style (16th Edition):
Chen, Meng. “Dual Estimation in State Space Models with Violation to Normality: A Comparison between the Extended Kalman Filter and the Particle Filter.” 2019. Thesis, Penn State University. Accessed January 22, 2021.
https://submit-etda.libraries.psu.edu/catalog/17297mxc681.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Chen, Meng. “Dual Estimation in State Space Models with Violation to Normality: A Comparison between the Extended Kalman Filter and the Particle Filter.” 2019. Web. 22 Jan 2021.
Vancouver:
Chen M. Dual Estimation in State Space Models with Violation to Normality: A Comparison between the Extended Kalman Filter and the Particle Filter. [Internet] [Thesis]. Penn State University; 2019. [cited 2021 Jan 22].
Available from: https://submit-etda.libraries.psu.edu/catalog/17297mxc681.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Chen M. Dual Estimation in State Space Models with Violation to Normality: A Comparison between the Extended Kalman Filter and the Particle Filter. [Thesis]. Penn State University; 2019. Available from: https://submit-etda.libraries.psu.edu/catalog/17297mxc681
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Penn State University
10.
Bernstein, Jason.
Inference of Biophysical Diffusion With Transient Binding Using Particle Filters and Stochastic Em.
Degree: 2016, Penn State University
URL: https://submit-etda.libraries.psu.edu/catalog/29621
► Many biophysical processes exhibit switching between free and bound diffusive regimes. For example, motor proteins diffusing along a microtubule can, under certain experimental conditions, become…
(more)
▼ Many biophysical processes exhibit switching between free and bound diffusive regimes. For example,
motor proteins diffusing along a microtubule can, under certain experimental conditions, become
transiently bound to the microtubule, and other types of switching behavior have been observed on
larger multimotor scales in vivo. This thesis proposes a general modeling framework for biophysical
diffusion with transient binding and describes an inferential approach for parameter estimation. In
particular, the
model specifies Markovian switching between an overdamped Langevin equation
in the bound regime and free Brownian diffusion in the unbound regime. Initially assuming a
quadratic potential in the bound regime, the unobserved regime of the particle and binding site
locations are predicted with a particle filter and
model parameters are estimated with a stochastic
EM algorithm. The inferential approach is then modified to estimate additive potential functions
and the utility of this approach is demonstrated on the worm-like chain
model. Last, we consider
estimation of a non-standard regime switching
model specifying a Kinesin and Dynein motor protein
attached to a cargo by linear springs.
Advisors/Committee Members: John Fricks, Dissertation Advisor/Co-Advisor, Murali Haran, Committee Member, Ephraim Mont Hanks, Committee Member, William O Hancock, Committee Member.
Subjects/Keywords: Particle filter; Stochastic EM; State Space Model; Motor Protein
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APA (6th Edition):
Bernstein, J. (2016). Inference of Biophysical Diffusion With Transient Binding Using Particle Filters and Stochastic Em. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/29621
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Chicago Manual of Style (16th Edition):
Bernstein, Jason. “Inference of Biophysical Diffusion With Transient Binding Using Particle Filters and Stochastic Em.” 2016. Thesis, Penn State University. Accessed January 22, 2021.
https://submit-etda.libraries.psu.edu/catalog/29621.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Bernstein, Jason. “Inference of Biophysical Diffusion With Transient Binding Using Particle Filters and Stochastic Em.” 2016. Web. 22 Jan 2021.
Vancouver:
Bernstein J. Inference of Biophysical Diffusion With Transient Binding Using Particle Filters and Stochastic Em. [Internet] [Thesis]. Penn State University; 2016. [cited 2021 Jan 22].
Available from: https://submit-etda.libraries.psu.edu/catalog/29621.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Bernstein J. Inference of Biophysical Diffusion With Transient Binding Using Particle Filters and Stochastic Em. [Thesis]. Penn State University; 2016. Available from: https://submit-etda.libraries.psu.edu/catalog/29621
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Universidade Nova
11.
Almeida, José Pedro Abreu.
The fitting of the German yield curve: A dynamic approach using latent, macroeconomic and stock market variables.
Degree: 2010, Universidade Nova
URL: http://www.rcaap.pt/detail.jsp?id=oai:run.unl.pt:10362/10351
► A Work Project, presented as part of the requirements for the Award of a Masters Degree in Finance from the NOVA – School of Business…
(more)
▼ A Work Project, presented as part of the requirements for the Award of a Masters Degree in Finance from the NOVA – School of Business and Economics
The purpose of this Work Project is to build a yield curve model for the German Government yield curve containing latent variables (Level, Slope and Curvature), macroeconomic variables (German IFO and Inflation Rate) and a stock market variable (German Stock Index DAX), while studying the yield curve dynamics.
The model incorporates the Nelson and Siegel (1987) factor model under a State-Space framework and the estimation results provided a good fitting of the historical yield curve. Additionally, after doing a Variance Decomposition analysis, this project proves the existence of an interaction between the yield curve and the German Macroeconomy/Stock Market.
Advisors/Committee Members: Leiria, Paulo.
Subjects/Keywords: Yield curve; State-space model; Macroeconomy; Stock market
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APA (6th Edition):
Almeida, J. P. A. (2010). The fitting of the German yield curve: A dynamic approach using latent, macroeconomic and stock market variables. (Thesis). Universidade Nova. Retrieved from http://www.rcaap.pt/detail.jsp?id=oai:run.unl.pt:10362/10351
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Chicago Manual of Style (16th Edition):
Almeida, José Pedro Abreu. “The fitting of the German yield curve: A dynamic approach using latent, macroeconomic and stock market variables.” 2010. Thesis, Universidade Nova. Accessed January 22, 2021.
http://www.rcaap.pt/detail.jsp?id=oai:run.unl.pt:10362/10351.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Almeida, José Pedro Abreu. “The fitting of the German yield curve: A dynamic approach using latent, macroeconomic and stock market variables.” 2010. Web. 22 Jan 2021.
Vancouver:
Almeida JPA. The fitting of the German yield curve: A dynamic approach using latent, macroeconomic and stock market variables. [Internet] [Thesis]. Universidade Nova; 2010. [cited 2021 Jan 22].
Available from: http://www.rcaap.pt/detail.jsp?id=oai:run.unl.pt:10362/10351.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Almeida JPA. The fitting of the German yield curve: A dynamic approach using latent, macroeconomic and stock market variables. [Thesis]. Universidade Nova; 2010. Available from: http://www.rcaap.pt/detail.jsp?id=oai:run.unl.pt:10362/10351
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
12.
Luo, Ya.
Joint Modeling of Longitudinal and Survival Data via Multivariate Mixed Effects State Space Model.
Degree: 2018, University of California – eScholarship, University of California
URL: http://www.escholarship.org/uc/item/5rm340p2
► State space models are powerful in modeling dynamic processes and at the same time have clear interpretations. Due to their flexibility and interpretability, mixed effects…
(more)
▼ State space models are powerful in modeling dynamic processes and at the same time have clear interpretations. Due to their flexibility and interpretability, mixed effects state space models have been studied in the literature for the modeling of multivariate longitudinal data.In a multivariate mixed effects state space model, the population effects and subject random deviations of any variable can be modeled by different stochastic processes. These processes can differ between variables, allowing great flexibility in the modeling. In addition, the model provides multiple ways to characterize interactions between the variables. However, the expensive computational cost is a major hindrance to the application of the mixed effects state space model to data with large numbers of individuals. Let m be the number of individuals. The current most efficient version of the Kalman filter, the univariate treatment, has time complexity O(m3) and space complexity O(m2). The univariate treatment can handle only a few hundred individuals at a high computational cost.We discover special structures in the Kalman filter of the mixed effects state space model and develop a new algorithm to exploit these structures. This reduces both time and space complexity to O(m) and enables easy modeling of hundreds of thousands of individuals without parallel computing, although it is also highly parallelizable. We further extend the mixed effects state space model to a joint modeling framework, in which a mixed effects state space model characterizes longitudinal data and a logistic regression models the survival probability. The true values of the longitudinal variables, modeled by the latent state of the state space model, are used as predictors in the logistic regression. Our joint model can (i) characterize the evolution of longitudinal variables and interactions between them, (ii) model the relationship between the survival probability and longitudinal variables/external covariates, and (iii) perform online predictions for longitudinal variables and survival probability.We develop another efficient algorithm for the computation of the maximum likelihood estimates of parameters in the joint model with time and space complexity both linear in m.
Subjects/Keywords: Statistics; Joint modeling; Kalman filter; Mixed effects state space model
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APA ·
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CSE |
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Manager
APA (6th Edition):
Luo, Y. (2018). Joint Modeling of Longitudinal and Survival Data via Multivariate Mixed Effects State Space Model. (Thesis). University of California – eScholarship, University of California. Retrieved from http://www.escholarship.org/uc/item/5rm340p2
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Chicago Manual of Style (16th Edition):
Luo, Ya. “Joint Modeling of Longitudinal and Survival Data via Multivariate Mixed Effects State Space Model.” 2018. Thesis, University of California – eScholarship, University of California. Accessed January 22, 2021.
http://www.escholarship.org/uc/item/5rm340p2.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Luo, Ya. “Joint Modeling of Longitudinal and Survival Data via Multivariate Mixed Effects State Space Model.” 2018. Web. 22 Jan 2021.
Vancouver:
Luo Y. Joint Modeling of Longitudinal and Survival Data via Multivariate Mixed Effects State Space Model. [Internet] [Thesis]. University of California – eScholarship, University of California; 2018. [cited 2021 Jan 22].
Available from: http://www.escholarship.org/uc/item/5rm340p2.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Luo Y. Joint Modeling of Longitudinal and Survival Data via Multivariate Mixed Effects State Space Model. [Thesis]. University of California – eScholarship, University of California; 2018. Available from: http://www.escholarship.org/uc/item/5rm340p2
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
University of Melbourne
13.
Parkins, Kate Anna.
Habitat preference and distribution of the Powerful Owl (Ninox strenua) on the Mornington Peninsula, Victoria.
Degree: 2013, University of Melbourne
URL: http://hdl.handle.net/11343/56896
► Identifying the distribution of threatened fauna is fundamental to allocating scant resources for conservation purposes. Predictive habitat modelling based on environmental data from species records…
(more)
▼ Identifying the distribution of threatened fauna is fundamental to allocating scant resources for conservation purposes. Predictive habitat modelling based on environmental data from species records is currently used to inform conservation management but research is needed to verify the reliability of those Species Distribution Models (SDMs). This study focused on the threatened Powerful Owl Ninox strenua, in a region that lacked historical records but where SDMs predicted suitable habitat was available. This study was aimed at ground truthing the existing habitat suitability model for the Powerful Owl while providing new data to improve the spatial comprehensiveness of the model. The Victorian state-wide habitat suitability model for the Powerful Owl was used to stratify the study area (Momington Peninsula) into three classifications of habitat suitability (Low, Low- Medium and Medium). Forty sites were randomly selected comprising 13 low suitability, 13 low-medium habitat suitability, and 14 medium habitat suitability sites. Powerful Owl call-playback was undertaken a total of 112 times with each site surveyed at least once. A subset of 6 sites per habitat suitability class were surveyed 5 times to provide an estimate of detection probability. Repeat surveys at the same site were important to improve the probability of determining if Powerful Owls were present at a site (one to four visits increased overall detection from 33 per cent to 80 per cent). A Bayesian state-space modelling approach was used to estimate the occupancy of Powerful Owls as a function of habitat suitability class and prey abundance. Detectability was modelled using survey conditions (wind speed). This study shows that existing state-wide models of Powerful Owl habitat suitability reliably predict the occupancy of this species on the Momington Peninsula. Powerful Owls were found at a higher proportion of Medium (72%) and Low-Medium sites (66%), with lower levels of occupancy in Low habitat suitability sites (24%). This study provides new information regarding the distribution and habitat preference of the Powerful Owl on the Momington Peninsula, while highlighting the value of predictive species distribution modelling for wildlife conservation and management
Subjects/Keywords: Wildlife conservation; Species distribution models; Model truthing; Bayesian space-state modelling
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APA (6th Edition):
Parkins, K. A. (2013). Habitat preference and distribution of the Powerful Owl (Ninox strenua) on the Mornington Peninsula, Victoria. (Masters Thesis). University of Melbourne. Retrieved from http://hdl.handle.net/11343/56896
Chicago Manual of Style (16th Edition):
Parkins, Kate Anna. “Habitat preference and distribution of the Powerful Owl (Ninox strenua) on the Mornington Peninsula, Victoria.” 2013. Masters Thesis, University of Melbourne. Accessed January 22, 2021.
http://hdl.handle.net/11343/56896.
MLA Handbook (7th Edition):
Parkins, Kate Anna. “Habitat preference and distribution of the Powerful Owl (Ninox strenua) on the Mornington Peninsula, Victoria.” 2013. Web. 22 Jan 2021.
Vancouver:
Parkins KA. Habitat preference and distribution of the Powerful Owl (Ninox strenua) on the Mornington Peninsula, Victoria. [Internet] [Masters thesis]. University of Melbourne; 2013. [cited 2021 Jan 22].
Available from: http://hdl.handle.net/11343/56896.
Council of Science Editors:
Parkins KA. Habitat preference and distribution of the Powerful Owl (Ninox strenua) on the Mornington Peninsula, Victoria. [Masters Thesis]. University of Melbourne; 2013. Available from: http://hdl.handle.net/11343/56896
University of Sydney
14.
Vera Ruiz, Victor.
Recoding of Markov Processes in Phylogenetic Models
.
Degree: 2014, University of Sydney
URL: http://hdl.handle.net/2123/13433
► Under a Markov model of evolution, lumping the state space (S) into fewer groups has been historically used to focus on specific types of substitutions…
(more)
▼ Under a Markov model of evolution, lumping the state space (S) into fewer groups has been historically used to focus on specific types of substitutions or to reduce compositional heterogeneity and saturation. However, working with reduced state spaces (S’) may yield misleading results unless the Markovian property is kept. A Markov process X(t) is lumpable if the reduced process X’(t) of S’ is Markovian. The aim of this Thesis is to develop a test able to detect if a given X(t) is lumpable with respect to a given S’. This test should allow flexibility to any possible non-trivial S’ and should not depend on evolutionary assumptions such as stationarity, homogeneity or reversibility (SHR conditions) over a phylogenetic tree. We developed three tests for lumpability for SHR Markovian processes on two taxa and compared them: one using an ad hoc statistic based on an index that is evaluated using a bootstrap approximation of its distribution; one based on a test proposed specifically for Markov chains; and one using a likelihood-ratio (LR) test. We show that the LR test is more powerful than the other two tests, and that it can be applied in all pairs of taxa for binary trees with more than two taxa under SHR conditions. Then, we generalized the LR test for cases where the SHR conditions may not hold. We show that the distribution of this test statistic approximates a chi square with a number of degrees of freedom equal to the number of different rate matrices in the tree by two. In all cases, we show that if X(t) is lumpable, the obtained estimates for X’(t) agree with the obtained estimates for X(t), whereas, if X(t) is not lumpable, these estimates can differ substantially. We conclude that lumping S may result in biased phylogenetic estimates if the original X(t) is not lumpable. Accordingly, testing for lumpability should be done prior to any phylogenetic analysis of recoded data.
Subjects/Keywords: Markov model, state space;
lumpability;
stationarity;
homogeneity;
reversibility;
maximum likelihood
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APA (6th Edition):
Vera Ruiz, V. (2014). Recoding of Markov Processes in Phylogenetic Models
. (Thesis). University of Sydney. Retrieved from http://hdl.handle.net/2123/13433
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Chicago Manual of Style (16th Edition):
Vera Ruiz, Victor. “Recoding of Markov Processes in Phylogenetic Models
.” 2014. Thesis, University of Sydney. Accessed January 22, 2021.
http://hdl.handle.net/2123/13433.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Vera Ruiz, Victor. “Recoding of Markov Processes in Phylogenetic Models
.” 2014. Web. 22 Jan 2021.
Vancouver:
Vera Ruiz V. Recoding of Markov Processes in Phylogenetic Models
. [Internet] [Thesis]. University of Sydney; 2014. [cited 2021 Jan 22].
Available from: http://hdl.handle.net/2123/13433.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Vera Ruiz V. Recoding of Markov Processes in Phylogenetic Models
. [Thesis]. University of Sydney; 2014. Available from: http://hdl.handle.net/2123/13433
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
University of Waterloo
15.
Nayek, Rajdip.
A probabilistic approach to vibration-based modal identification using mobile sensors.
Degree: 2019, University of Waterloo
URL: http://hdl.handle.net/10012/15195
► Vibration-based modal identification is the process of analyzing vibration measurements in order to identify the modal properties of the structure, namely the modal frequencies, damping…
(more)
▼ Vibration-based modal identification is the process of analyzing vibration measurements in order to identify the modal properties of the structure, namely the modal frequencies, damping ratios, and mode shapes. The quality of the estimated modal parameters, particularly the mode shapes, depends to a great extent on the spatial resolution of the measurements on the structure. Traditionally, measurements are obtained using networks of static sensors (i.e., sensors that remain fixed at certain locations on the structure) which are prone to poor spatial resolution when only using a few sensors. To circumvent this issue, a large, dense network is required which has negative cost and implementation implications. An appealing alternative to large static sensor networks is the use of a much smaller network of mobile sensors. Mobile sensors are sensors mounted on carrier vehicles (such as robots or cars) that can be sequentially conveyed to various locations on a structure, thereby achieving dense spatial resolution with relatively few sensors.
Two measurement strategies can be used with mobile sensors: re-configurable mobile sensing, which involves repositioning the mobile sensors in a series of static configurations and collecting measurement data while not in motion, and in-motion mobile sensing which involves continuously collecting measurement data while the sensors traverse the spatial domain of the structure. Conventional modal identification methods - developed for use with measurement data from static sensor networks - are not directly compatible with data obtained from mobile sensor networks. This motivates the need to develop new modal identification algorithms specifically to process mobile sensor data. Furthermore, due to various factors such as motion over rough surfaces, data transmission errors, vehicle-structure interaction, mobile sensors are typically subjected to more sources of error compared to static sensors. Therefore, quantifying the uncertainties in the modal parameter estimates is important and should be included in the algorithms using mobile sensor data.
The current state of research on system identification methods using mobile sensors is still developing. This thesis addresses some of the theoretical and algorithmic challenges encountered in system identification using both re-configurable and in-motion mobile sensing strategies. In the context of re-configurable sensing, the feasibility of using a single mobile actuator-sensor pair for input-output modal identification of a structure is studied. An input-output balance method is developed and it is shown that high-resolution mass-normalized mode shapes can be obtained with a single mobile actuator-sensor pair and the approximate knowledge of the signs of the mode shapes.
The problem of output-only modal identification using in-motion mobile sensors is addressed from two perspectives: an incomplete-data perspective and a complete-data perspective. From an incomplete data perspective, the data matrix generated by mobile sensors is treated as…
Subjects/Keywords: modal identification; Bayesian inference; uncertainty quantification; mobile sensors; state-space model
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APA ·
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APA (6th Edition):
Nayek, R. (2019). A probabilistic approach to vibration-based modal identification using mobile sensors. (Thesis). University of Waterloo. Retrieved from http://hdl.handle.net/10012/15195
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Chicago Manual of Style (16th Edition):
Nayek, Rajdip. “A probabilistic approach to vibration-based modal identification using mobile sensors.” 2019. Thesis, University of Waterloo. Accessed January 22, 2021.
http://hdl.handle.net/10012/15195.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Nayek, Rajdip. “A probabilistic approach to vibration-based modal identification using mobile sensors.” 2019. Web. 22 Jan 2021.
Vancouver:
Nayek R. A probabilistic approach to vibration-based modal identification using mobile sensors. [Internet] [Thesis]. University of Waterloo; 2019. [cited 2021 Jan 22].
Available from: http://hdl.handle.net/10012/15195.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Nayek R. A probabilistic approach to vibration-based modal identification using mobile sensors. [Thesis]. University of Waterloo; 2019. Available from: http://hdl.handle.net/10012/15195
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Arizona State University
16.
Zou, Na.
A probabilistic framework of transfer learning- theory and
application.
Degree: Industrial Engineering, 2015, Arizona State University
URL: http://repository.asu.edu/items/36040
► Transfer learning refers to statistical machine learning methods that integrate the knowledge of one domain (source domain) and the data of another domain (target domain)…
(more)
▼ Transfer learning refers to statistical machine
learning methods that integrate the knowledge of one domain (source
domain) and the data of another domain (target domain) in an
appropriate way, in order to develop a model for the target domain
that is better than a model using the data of the target domain
alone. Transfer learning emerged because classic machine learning,
when used to model different domains, has to take on one of two
mechanical approaches. That is, it will either assume the data
distributions of the different domains to be the same and thereby
developing one model that fits all, or develop one model for each
domain independently. Transfer learning, on the other hand, aims to
mitigate the limitations of the two approaches by accounting for
both the similarity and specificity of related domains. The
objective of my dissertation research is to develop new transfer
learning methods and demonstrate the utility of the methods in
real-world applications. Specifically, in my methodological
development, I focus on two different transfer learning scenarios:
spatial transfer learning across different domains and temporal
transfer learning along time in the same domain. Furthermore, I
apply the proposed spatial transfer learning approach to modeling
of degenerate biological systems.Degeneracy is a well-known
characteristic, widely-existing in many biological systems, and
contributes to the heterogeneity, complexity, and robustness of
biological systems. In particular, I study the application of one
degenerate biological system which is to use transcription factor
(TF) binding sites to predict gene expression across multiple cell
lines. Also, I apply the proposed temporal transfer learning
approach to change detection of dynamic network data. Change
detection is a classic research area in Statistical Process Control
(SPC), but change detection in network data has been limited
studied. I integrate the temporal transfer learning method called
the Network State Space Model (NSSM) and SPC and formulate the
problem of change detection from dynamic networks into a covariance
monitoring problem. I demonstrate the performance of the NSSM in
change detection of dynamic social networks.
Subjects/Keywords: Industrial engineering; change detection; degeneracy; network state space model; transfer learning
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APA (6th Edition):
Zou, N. (2015). A probabilistic framework of transfer learning- theory and
application. (Doctoral Dissertation). Arizona State University. Retrieved from http://repository.asu.edu/items/36040
Chicago Manual of Style (16th Edition):
Zou, Na. “A probabilistic framework of transfer learning- theory and
application.” 2015. Doctoral Dissertation, Arizona State University. Accessed January 22, 2021.
http://repository.asu.edu/items/36040.
MLA Handbook (7th Edition):
Zou, Na. “A probabilistic framework of transfer learning- theory and
application.” 2015. Web. 22 Jan 2021.
Vancouver:
Zou N. A probabilistic framework of transfer learning- theory and
application. [Internet] [Doctoral dissertation]. Arizona State University; 2015. [cited 2021 Jan 22].
Available from: http://repository.asu.edu/items/36040.
Council of Science Editors:
Zou N. A probabilistic framework of transfer learning- theory and
application. [Doctoral Dissertation]. Arizona State University; 2015. Available from: http://repository.asu.edu/items/36040
University of Rochester
17.
Chen, Juo-Fan Iris.
State Space Models and Differential Equations for Dynamic
Gene Regulatory Network Identification.
Degree: PhD, 2013, University of Rochester
URL: http://hdl.handle.net/1802/27874
► Gene regulation has been extensively studied for biological systems. Expression profiles from time-course experiments along with appropriate mathematical models allow us to identify dynamic gene…
(more)
▼ Gene regulation has been extensively studied for
biological systems. Expression
profiles from time-course
experiments along with appropriate mathematical
models allow us to
identify dynamic gene regulatory networks. However, it is no
surprised that challenges fall on the high-dimensional nature of
such noisy data.
In my thesis work, a high-dimensional linear
State Space Model (SSM) with a
new
Expectation-Regularization-Maximization (ERM) algorithm is proposed
to
construct the dynamic Gene Regulatory Network (GRN). The
approach has been
shown to meet the purpose of overcoming the
challenges of high dimensionality
and separation of both the
system noise and the measurement noise. Simulation
studies are
performed to evaluate the proposed ERM algorithm for variable
selection. The method is applied to identify the dynamic GRN from
time-course
gene expression data of yeast cell cycle experiments.
A stochastic differential
equations (SDE) model is further
proposed for the same purpose. The method and
connection between
SSM, SDE models, and ordinary differential equations
(ODE) models
is illustrated and discussed.
Subjects/Keywords: Adaptive LASSO; Dynamic Gene Regulatory Network; LI Regularization; State Space Model; VAR Model
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APA (6th Edition):
Chen, J. I. (2013). State Space Models and Differential Equations for Dynamic
Gene Regulatory Network Identification. (Doctoral Dissertation). University of Rochester. Retrieved from http://hdl.handle.net/1802/27874
Chicago Manual of Style (16th Edition):
Chen, Juo-Fan Iris. “State Space Models and Differential Equations for Dynamic
Gene Regulatory Network Identification.” 2013. Doctoral Dissertation, University of Rochester. Accessed January 22, 2021.
http://hdl.handle.net/1802/27874.
MLA Handbook (7th Edition):
Chen, Juo-Fan Iris. “State Space Models and Differential Equations for Dynamic
Gene Regulatory Network Identification.” 2013. Web. 22 Jan 2021.
Vancouver:
Chen JI. State Space Models and Differential Equations for Dynamic
Gene Regulatory Network Identification. [Internet] [Doctoral dissertation]. University of Rochester; 2013. [cited 2021 Jan 22].
Available from: http://hdl.handle.net/1802/27874.
Council of Science Editors:
Chen JI. State Space Models and Differential Equations for Dynamic
Gene Regulatory Network Identification. [Doctoral Dissertation]. University of Rochester; 2013. Available from: http://hdl.handle.net/1802/27874
University of Kansas
18.
Kanyama, Isaac Kalonda.
Shifting Preferences and Time-Varying Parameters in Demand Analysis: A Monte Carlo Study.
Degree: PhD, Economics, 2011, University of Kansas
URL: http://hdl.handle.net/1808/10337
► Using Monte Carlo experiments, I address two issues in demand analysis. The first relates to the performance of local flexible functional forms in recovering the…
(more)
▼ Using Monte Carlo experiments, I address two issues in demand analysis. The first relates to the performance of local flexible functional forms in recovering the time-varying elasticities of a true
model, and in correctly identifying goods as complements, substitutes, normal or inferior. The problem is illustrated with the nonlinear almost ideal demand system (NLAI) and the Rotterdam
model (RM). For the AIDS, I also consider two versions of its linear approximation: one with simple formulas (LAISF) and the other with corrected formulas (LAICF). The second issue concerns the ability of the flexible functional structures to satisfy theoretical regularity in terms of the Slutsky matrix being negative semi-definite at each time period of time. I tackle these issues in the framework of structural time series models, computing the relevant time-varying elasticities by means of Kalman filtered and smoothed coefficients. The estimated time-varying coefficients are obtained under the pure random walk and the local trend hypotheses. I find that both the NLAI and the RM qualitatively perform well in approximating the signs of the time-varying income and substitution elasticities. Quantitatively, the RM tends to produce values of the time-varying elasticity of substitution close to the true ones within separable utility branches while the NLAI tends to produce overestimating values. On the other hand, the RM produces time-varying income elasticities with values close to the true ones while the NLAI tends to produce constant values over time. The LAISF
model qualitatively performs similarly to the NLAI, but the LAICF does not. Finally, the NLAI achieves higher levels of the regularity index under the local trend specification while the RM achieves higher regularity levels under the random walk specification. In contrast, the LAISF and the LAICF models achieve lower levels of regularity under both specifications of the time-varying coefficients. Globally, the LAICF which widely adopted in applied work performs poorly compared to the RM and the NLAI. These findings are robust to different values of the time-varying parameters in the utility function. Two implications emerge from this research. First, the LAICF
model should be considered as a
model on its own rather than as an approximation of the NLAI. Second, the choice between an AIDS-type
model and the RM should be motivated by their performance with respect to the properties a hypothesized true
model for the data at hand, especially when working with real data.
Advisors/Committee Members: Barnett, William A. (advisor), Comolli, Paul (cmtemember), Hillmer, Steve (cmtemember), Keating, John (cmtemember), Zhang, Jianbo (cmtemember).
Subjects/Keywords: Economics; Almost ideal demand system; Monte Carlo study; Rotterdam model; State-space model; Theoretical regularity
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MLA ·
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Manager
APA (6th Edition):
Kanyama, I. K. (2011). Shifting Preferences and Time-Varying Parameters in Demand Analysis: A Monte Carlo Study. (Doctoral Dissertation). University of Kansas. Retrieved from http://hdl.handle.net/1808/10337
Chicago Manual of Style (16th Edition):
Kanyama, Isaac Kalonda. “Shifting Preferences and Time-Varying Parameters in Demand Analysis: A Monte Carlo Study.” 2011. Doctoral Dissertation, University of Kansas. Accessed January 22, 2021.
http://hdl.handle.net/1808/10337.
MLA Handbook (7th Edition):
Kanyama, Isaac Kalonda. “Shifting Preferences and Time-Varying Parameters in Demand Analysis: A Monte Carlo Study.” 2011. Web. 22 Jan 2021.
Vancouver:
Kanyama IK. Shifting Preferences and Time-Varying Parameters in Demand Analysis: A Monte Carlo Study. [Internet] [Doctoral dissertation]. University of Kansas; 2011. [cited 2021 Jan 22].
Available from: http://hdl.handle.net/1808/10337.
Council of Science Editors:
Kanyama IK. Shifting Preferences and Time-Varying Parameters in Demand Analysis: A Monte Carlo Study. [Doctoral Dissertation]. University of Kansas; 2011. Available from: http://hdl.handle.net/1808/10337
Colorado School of Mines
19.
Weddle, Peter J.
Developing and identifying physically based Li-ion battery models to inform real-time control applications.
Degree: PhD, Mechanical Engineering, 2019, Colorado School of Mines
URL: http://hdl.handle.net/11124/173984
► The enclosed thesis develops and identifies physically based battery models. The physically based battery models bridge fundamental chemical, electrochemical, and transport scales to system-level applications.…
(more)
▼ The enclosed thesis develops and identifies physically based battery models. The physically based battery models bridge fundamental chemical, electrochemical, and transport scales to system-level applications. The fundamental physics captured in such detailed models provide qualitative and quantitative insight for effective battery design and implementation. Because fundamental models are too computationally expensive to run at scale, systematic reduction techniques are introduced to identify low-order models that can be run in real time. Many techniques are implemented throughout the thesis to inform battery/pack level models of fundamental electrochemical physics. The techniques presented not only upscale important battery dynamics, but also can be used for practical implementation in battery management systems. The thesis is generally formatted to (1) introduce and derive common approaches to modeling important battery physics at the porous media scale (i.e., transport/kinetics between current collectors), (2) develop upscaling techniques to inform full-cell battery models of underlying microscale (electrode) composition and mesoscale (current collector wrapping) architecture, (3) formulate a systematic procedure for identifying reduced, low-order, linear
state-
space models that accurately describe full-cell battery dynamics, (4) implement the identified
state-
space models into
model-predictive control algorithms, and (5) introduce and analyze phase-transformation physics in such a way as to identify important electrochemical impedance realizations. This research has at least four significant contributions to the field. The first novel contribution is developing upscaling techniques that inform full-cell models of mico- and meso-scale compositions. The physically informed full-cell models indicate that the influence of heterogeneous upscaled parameters are most significant during abuse scenarios. The second novel contribution is a systematic procedure to extract linear-
state space models from complex battery models. Because the extraction procedure treats the physically informed battery
model as a black-box, the same procedure can be extended to real batteries. The third novel contribution are pioneering
model-predictive control algorithms that implement the extracted
state-
space models and respect both measurable and unmeasurable constraints. The final novel contribution of the present thesis is to interpret phase-transformation physics at the electrode particle ensemble scale. The fundamental analysis indicates that phase-transformation electrodes will exhibit history-dependent
state-of charge and subsequently a history-dependent electrochemical impedance spectra. Phase-transformation electrode charge history-dependent impedance is validated with experimental results.
Advisors/Committee Members: Kee, R. J. (advisor), Vincent, Tyrone (advisor), DeCaluwe, Steven C. (committee member), Jackson, Gregory (committee member), Mohagheghi, Salman (committee member).
Subjects/Keywords: model predictive control; physically based Li-ion model; state-space model; phase-transformation electrodes; Li-ion battery; reconstructions
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Chicago ·
MLA ·
Vancouver ·
CSE |
Export
to Zotero / EndNote / Reference
Manager
APA (6th Edition):
Weddle, P. J. (2019). Developing and identifying physically based Li-ion battery models to inform real-time control applications. (Doctoral Dissertation). Colorado School of Mines. Retrieved from http://hdl.handle.net/11124/173984
Chicago Manual of Style (16th Edition):
Weddle, Peter J. “Developing and identifying physically based Li-ion battery models to inform real-time control applications.” 2019. Doctoral Dissertation, Colorado School of Mines. Accessed January 22, 2021.
http://hdl.handle.net/11124/173984.
MLA Handbook (7th Edition):
Weddle, Peter J. “Developing and identifying physically based Li-ion battery models to inform real-time control applications.” 2019. Web. 22 Jan 2021.
Vancouver:
Weddle PJ. Developing and identifying physically based Li-ion battery models to inform real-time control applications. [Internet] [Doctoral dissertation]. Colorado School of Mines; 2019. [cited 2021 Jan 22].
Available from: http://hdl.handle.net/11124/173984.
Council of Science Editors:
Weddle PJ. Developing and identifying physically based Li-ion battery models to inform real-time control applications. [Doctoral Dissertation]. Colorado School of Mines; 2019. Available from: http://hdl.handle.net/11124/173984
Universiteit Utrecht
20.
Molenaars, T.K.
On consistent stochastic processes in the Nelson-Siegel framework.
Degree: 2012, Universiteit Utrecht
URL: http://dspace.library.uu.nl:8080/handle/1874/243648
► The Nelson-Siegel model is used by many practitioners in the field of yield curve fitting and modeling. In the beginning it was just a method…
(more)
▼ The Nelson-Siegel
model is used by many practitioners in the field of yield curve fitting and modeling. In the beginning it was just a method to fit the yield curve, nowadays people have developed methods using the Nelson-Siegel curve to predict the yield curve.
This
model, as a forecasting method based on continuous processes, lacks theoretical background. We take over Filipović’s the definition of the consistent
state space process: the process which, when representing the parameters of the Nelson-Siegel curve, turns the discounted bond price into a martingale (what can be seen as the no-arbitrage condition). For Itô processes, it is shown there exists no nontrivial interest rate
model consistent with the Nelson-Siegel family.
Secondly we introduce jump processes and stochastic calculus for jump processes. We derive conditions on the dynamics of an Independent jump process in order to represent a consistent
state space process. It turns out that there exists no nontrivial interest rate
model driven by an Independent jump process.
Advisors/Committee Members: Vaart, A.W. van der, Dajani, K., Hemminga, M.A..
Subjects/Keywords: Nelson-Siegel; Yield curve; Interest rate model; State space process; Consistency; Forecasting
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to Zotero / EndNote / Reference
Manager
APA (6th Edition):
Molenaars, T. K. (2012). On consistent stochastic processes in the Nelson-Siegel framework. (Masters Thesis). Universiteit Utrecht. Retrieved from http://dspace.library.uu.nl:8080/handle/1874/243648
Chicago Manual of Style (16th Edition):
Molenaars, T K. “On consistent stochastic processes in the Nelson-Siegel framework.” 2012. Masters Thesis, Universiteit Utrecht. Accessed January 22, 2021.
http://dspace.library.uu.nl:8080/handle/1874/243648.
MLA Handbook (7th Edition):
Molenaars, T K. “On consistent stochastic processes in the Nelson-Siegel framework.” 2012. Web. 22 Jan 2021.
Vancouver:
Molenaars TK. On consistent stochastic processes in the Nelson-Siegel framework. [Internet] [Masters thesis]. Universiteit Utrecht; 2012. [cited 2021 Jan 22].
Available from: http://dspace.library.uu.nl:8080/handle/1874/243648.
Council of Science Editors:
Molenaars TK. On consistent stochastic processes in the Nelson-Siegel framework. [Masters Thesis]. Universiteit Utrecht; 2012. Available from: http://dspace.library.uu.nl:8080/handle/1874/243648
Temple University
21.
Ackerman, Samuel.
A Probabilistic Characterization of Shark Movement Using Location Tracking Data.
Degree: PhD, 2018, Temple University
URL: http://digital.library.temple.edu/u?/p245801coll10,499173
► Statistics
Our data consist of measurements of 22 sharks' movements within a 366-acre tidal basin. The measurements are made at irregular time points over a…
(more)
▼ Statistics
Our data consist of measurements of 22 sharks' movements within a 366-acre tidal basin. The measurements are made at irregular time points over a 16-month interval. Constant-length observation intervals would have been desirable, but are often infeasible in practice. We model the sharks' paths at short constant-length intervals by inferring their behavior (feeding vs transiting), interpolating their locations, and estimating parameters of motion (speed and turning angle) in environmental and ecological contexts. We are interested in inferring regional differences in the sharks' behavior, and behavioral interaction between them. Our method uses particle filters, a computational Bayesian technique designed to sequentially model a dynamic system. We discuss how resampling is used to approximate arbitrary densities, and illustrate its use in a simple example of a particle filter implementation of a state-space model. We then introduce a particular model formulation that uses conditioning to introduce unobserved parameters for the shark's behaviors. We show how the irregularly-observed shark locations can be modeled by interpolation as a set of movements at constant-length time intervals. We use a spline method for generating approximations of the ground truth at these intervals for comparison with our model. Finally, we demonstrate our model's estimates of the sharks' behavioral and ecological parameters of interest on a subset of the observed data.
Temple University – Theses
Advisors/Committee Members: Sobel, Marc;, Heiberger, Richard M., Carides, Alexandra, O'Connor, Michael, Souvenir, Richard;.
Subjects/Keywords: Statistics; Biology; Computer science;
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Manager
APA (6th Edition):
Ackerman, S. (2018). A Probabilistic Characterization of Shark Movement Using Location Tracking Data. (Doctoral Dissertation). Temple University. Retrieved from http://digital.library.temple.edu/u?/p245801coll10,499173
Chicago Manual of Style (16th Edition):
Ackerman, Samuel. “A Probabilistic Characterization of Shark Movement Using Location Tracking Data.” 2018. Doctoral Dissertation, Temple University. Accessed January 22, 2021.
http://digital.library.temple.edu/u?/p245801coll10,499173.
MLA Handbook (7th Edition):
Ackerman, Samuel. “A Probabilistic Characterization of Shark Movement Using Location Tracking Data.” 2018. Web. 22 Jan 2021.
Vancouver:
Ackerman S. A Probabilistic Characterization of Shark Movement Using Location Tracking Data. [Internet] [Doctoral dissertation]. Temple University; 2018. [cited 2021 Jan 22].
Available from: http://digital.library.temple.edu/u?/p245801coll10,499173.
Council of Science Editors:
Ackerman S. A Probabilistic Characterization of Shark Movement Using Location Tracking Data. [Doctoral Dissertation]. Temple University; 2018. Available from: http://digital.library.temple.edu/u?/p245801coll10,499173
Texas A&M University
22.
Wanderley De Holanda, Rafael.
Capacitance Resistance Model in a Control Systems Framework: A Tool for Describing and Controlling Waterflooding Reservoirs.
Degree: MS, Petroleum Engineering, 2015, Texas A&M University
URL: http://hdl.handle.net/1969.1/155677
► The Capacitance Resistance Model (CRM) is a fast way for modeling and simulating gas and water flooding recovery processes, making it a great tool for…
(more)
▼ The Capacitance Resistance
Model (CRM) is a fast way for modeling and simulating gas and water flooding recovery processes, making it a great tool for improving flood management in real time. CRM is an input-output and material balance-based
model, and uses only the most reliable data gathered throughout the production life of a flooded reservoir, which are bottom-hole pressures and production/injection rates. In this work, the CRM input-output relationship is explored by representing CRM in a control systems framework with
state-
space (SS) equations and transfer functions. Systems identification is applied for history matching using only production data to characterize the reservoir, evaluating interwell connectivities, time constants and productivity indices.
A linear system SS equations define the relationship between inputs, outputs and states to completely describe system dynamics. We estimate the CRM parameters using a grey-box system identification algorithm, where production rates are computed simulating the system with SS-CRM instead of using ODE solutions as in prior works. The matrix form of the CRM history matching and a sensitivity analysis to the CRM parameters estimates are presented. Minimal realizations and reduced order models are easily obtained with the SS-CRM approach. The performance of three types of CRM formulations are analyzed: integrated (ICRM), producer based (CRMP), injector-producer based (CRMIP). Also, the methodology developed here are tested in three different reservoir setups: 1) homogeneous with flow barriers; 2) channelized; 3) shoreface environment.
The new formulation in terms of
state-
space allows to write the CRM in a matrix representation, this provides more insight into reservoir behavior and is computationally faster. SS-CRM facilitates closed loop reservoir management by enabling CRM's use for linear control algorithms, which can improve tracking performance and predictability, and is amenable to real time optimization. Expressing the history matching problem using matrices provides structure and facilitates its implementation. CRM represented as a multi-input multi-output
model is easier to apply in fields with large number of wells.
Advisors/Committee Members: Gildin, Eduardo (advisor), Blasingame, Thomas A. (committee member), Bhattacharyya, Shankar P. (committee member).
Subjects/Keywords: Capacitance Resistance Model (CRM); Waterflooding; State Space Equations; Control; Systems Identification; Optimization
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APA (6th Edition):
Wanderley De Holanda, R. (2015). Capacitance Resistance Model in a Control Systems Framework: A Tool for Describing and Controlling Waterflooding Reservoirs. (Masters Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/155677
Chicago Manual of Style (16th Edition):
Wanderley De Holanda, Rafael. “Capacitance Resistance Model in a Control Systems Framework: A Tool for Describing and Controlling Waterflooding Reservoirs.” 2015. Masters Thesis, Texas A&M University. Accessed January 22, 2021.
http://hdl.handle.net/1969.1/155677.
MLA Handbook (7th Edition):
Wanderley De Holanda, Rafael. “Capacitance Resistance Model in a Control Systems Framework: A Tool for Describing and Controlling Waterflooding Reservoirs.” 2015. Web. 22 Jan 2021.
Vancouver:
Wanderley De Holanda R. Capacitance Resistance Model in a Control Systems Framework: A Tool for Describing and Controlling Waterflooding Reservoirs. [Internet] [Masters thesis]. Texas A&M University; 2015. [cited 2021 Jan 22].
Available from: http://hdl.handle.net/1969.1/155677.
Council of Science Editors:
Wanderley De Holanda R. Capacitance Resistance Model in a Control Systems Framework: A Tool for Describing and Controlling Waterflooding Reservoirs. [Masters Thesis]. Texas A&M University; 2015. Available from: http://hdl.handle.net/1969.1/155677
Universidade Nova
23.
Casinha, Rodrigo.
A yield curve model with macroeconomic and financial variables.
Degree: 2017, Universidade Nova
URL: https://www.rcaap.pt/detail.jsp?id=oai:run.unl.pt:10362/22283
► This thesis has the goal to fit the Portuguese yield curve constructing a model with not only latent factors, but also macroeconomic factors, such as…
(more)
▼ This thesis has the goal to fit the Portuguese yield curve constructing a
model with not only latent factors, but also macroeconomic factors, such as inflation, marginal lending rate and industrial production.
The
model will incorporate the Nelson and Siegel (1987) decomposition and it will be made using a
state-
space framework, where the estimation results gave me a good fitting of the yield curve. Afterwards, I analyze the correlation between the yield curve components and the macroeconomic variables by impulse response functions and variance decompositions, where I find a causality relationship between macro variables and the latent factors.
Advisors/Committee Members: Silva, André Castro.
Subjects/Keywords: Yield curve; Portugal; Macroeconomy; State-space model; Domínio/Área Científica::Ciências Sociais::Economia e Gestão
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Manager
APA (6th Edition):
Casinha, R. (2017). A yield curve model with macroeconomic and financial variables. (Thesis). Universidade Nova. Retrieved from https://www.rcaap.pt/detail.jsp?id=oai:run.unl.pt:10362/22283
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Chicago Manual of Style (16th Edition):
Casinha, Rodrigo. “A yield curve model with macroeconomic and financial variables.” 2017. Thesis, Universidade Nova. Accessed January 22, 2021.
https://www.rcaap.pt/detail.jsp?id=oai:run.unl.pt:10362/22283.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Casinha, Rodrigo. “A yield curve model with macroeconomic and financial variables.” 2017. Web. 22 Jan 2021.
Vancouver:
Casinha R. A yield curve model with macroeconomic and financial variables. [Internet] [Thesis]. Universidade Nova; 2017. [cited 2021 Jan 22].
Available from: https://www.rcaap.pt/detail.jsp?id=oai:run.unl.pt:10362/22283.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Casinha R. A yield curve model with macroeconomic and financial variables. [Thesis]. Universidade Nova; 2017. Available from: https://www.rcaap.pt/detail.jsp?id=oai:run.unl.pt:10362/22283
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
University of Miami
24.
Sculley, Michelle L.
Estimating Movement Rates of Atlantic Ocean Tropical Tunas, Katsuwonus Pelamis, Thunnus Albacares, and T. Obesus, from Tagging Data.
Degree: PhD, Marine Biology and Fisheries (Marine), 2016, University of Miami
URL: https://scholarlyrepository.miami.edu/oa_dissertations/1755
► Information gained from tagging programs can be incorporated into stock assessments to reduce uncertainty in the current stock status. A spatially explicit Bayesian was used…
(more)
▼ Information gained from tagging programs can be incorporated into stock assessments to reduce uncertainty in the current stock status. A spatially explicit Bayesian was used to analyze historical Atlantic conventional tag data and showed that the tagging data available provide information on regional movements within the Eastern Atlantic Ocean, but due to fewer tag releases and returns in the Western Atlantic, basin-wide parameters are not estimable. Catch and effort data suggest that these movements are seasonal. A large scale tagging program is currently being implemented in the Atlantic by the International Commission for the Conservation of Atlantic Tunas (ICCAT). A simulation framework was developed to
model ICCAT’s Atlantic Ocean Tuna Tagging Program (AOTTP) and provide recommendations for the program. This simulation framework was used to simulate the release of two types of electronic tags, data storage tags and popup satellite archival tags on yellowfin and bigeye tuna. A Bayesian
space-
state model was used to estimate movement rates, fishing, and natural mortality from the simulated electronic data and conventional tags. Fishing and natural mortality parameter estimates were very similar from both types of electronic tags. Using conventional tag data simulated using an age-specific fishing and natural mortality in a spatially-explicit simulation framework, mortality was estimated as age-specific parameters and age-constant parameters.
Model results indicated that when the underlying population dynamics have significant age structure, assuming parameters were constant across age classes resulted in significantly biased estimates. The simulations provided several recommendations to help the AOTTP meet the goals of the program.
Advisors/Committee Members: David Die, Elizabeth Babcock, William Johns, Peter Ortner, Matthew Lauretta.
Subjects/Keywords: fisheries; yellowfin tuna; bigeye tuna; skipjack tuna; tagging programs; Bayesian space-state model
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Manager
APA (6th Edition):
Sculley, M. L. (2016). Estimating Movement Rates of Atlantic Ocean Tropical Tunas, Katsuwonus Pelamis, Thunnus Albacares, and T. Obesus, from Tagging Data. (Doctoral Dissertation). University of Miami. Retrieved from https://scholarlyrepository.miami.edu/oa_dissertations/1755
Chicago Manual of Style (16th Edition):
Sculley, Michelle L. “Estimating Movement Rates of Atlantic Ocean Tropical Tunas, Katsuwonus Pelamis, Thunnus Albacares, and T. Obesus, from Tagging Data.” 2016. Doctoral Dissertation, University of Miami. Accessed January 22, 2021.
https://scholarlyrepository.miami.edu/oa_dissertations/1755.
MLA Handbook (7th Edition):
Sculley, Michelle L. “Estimating Movement Rates of Atlantic Ocean Tropical Tunas, Katsuwonus Pelamis, Thunnus Albacares, and T. Obesus, from Tagging Data.” 2016. Web. 22 Jan 2021.
Vancouver:
Sculley ML. Estimating Movement Rates of Atlantic Ocean Tropical Tunas, Katsuwonus Pelamis, Thunnus Albacares, and T. Obesus, from Tagging Data. [Internet] [Doctoral dissertation]. University of Miami; 2016. [cited 2021 Jan 22].
Available from: https://scholarlyrepository.miami.edu/oa_dissertations/1755.
Council of Science Editors:
Sculley ML. Estimating Movement Rates of Atlantic Ocean Tropical Tunas, Katsuwonus Pelamis, Thunnus Albacares, and T. Obesus, from Tagging Data. [Doctoral Dissertation]. University of Miami; 2016. Available from: https://scholarlyrepository.miami.edu/oa_dissertations/1755
Boston University
25.
Zhuo, Fan.
Essays on regime switching and DSGE models with applications to U.S. business cycle.
Degree: PhD, Economics, 2016, Boston University
URL: http://hdl.handle.net/2144/19564
► This dissertation studies various issues related to regime switching and DSGE models. The methods developed are used to study U.S. business cycles. Chapter one considers…
(more)
▼ This dissertation studies various issues related to regime switching and DSGE models. The methods developed are used to study U.S. business cycles.
Chapter one considers and derives the limit distributions of likelihood ratio based tests for Markov regime switching in multiple parameters in the context of a general class of nonlinear models. The analysis simultaneously addresses three difficulties: (1) some nuisance parameters are unidentified under the null hypothesis, (2) the null hypothesis yields a local optimum, and (3) the conditional regime probabilities follow stochastic processes that can only be represented recursively. When applied to US quarterly real GDP growth rates, the tests suggest strong evidence favoring the regime switching specification over a range of sample periods.
Chapter two develops a modified likelihood ratio (MLR) test to detect regime switching in state space models. I apply the filtering algorithm introduced in Gordon and Smith (1988) to construct a modified likelihood function under the alternative hypothesis of two regimes and I extend the analysis in Chapter one to establish the asymptotic distribution of the MLR statistic under the null hypothesis of a single regime. I also apply the test to a simple model of the U.S. unemployment rate. This contribution is the first to develop a test based on the likelihood ratio principle to detect regime switching in state space models.
The final chapter estimates a search and matching model of the aggregate labor market with sticky price and staggered wage negotiation. It starts with a partial equilibrium search and matching model and expands into a general equilibrium model with sticky price and staggered wage. I study the quantitative implications of the model. The results show that (1) the price stickiness and staggered wage structure are quantitatively important for the search and matching model of the aggregate labor market; (2) relatively high outside option payments to the workers, such as unemployment insurance payments, are needed to match the data; and (3) workers have lower bargaining power relative to firms, which contrasts with the assumption in the literature that workers and firms share equally the surplus generated from their employment relationship.
Subjects/Keywords: Economics; Hypothesis testing; Likelihood ratio; Markov switching; Nonlinearity; Search and matching; State space model
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APA (6th Edition):
Zhuo, F. (2016). Essays on regime switching and DSGE models with applications to U.S. business cycle. (Doctoral Dissertation). Boston University. Retrieved from http://hdl.handle.net/2144/19564
Chicago Manual of Style (16th Edition):
Zhuo, Fan. “Essays on regime switching and DSGE models with applications to U.S. business cycle.” 2016. Doctoral Dissertation, Boston University. Accessed January 22, 2021.
http://hdl.handle.net/2144/19564.
MLA Handbook (7th Edition):
Zhuo, Fan. “Essays on regime switching and DSGE models with applications to U.S. business cycle.” 2016. Web. 22 Jan 2021.
Vancouver:
Zhuo F. Essays on regime switching and DSGE models with applications to U.S. business cycle. [Internet] [Doctoral dissertation]. Boston University; 2016. [cited 2021 Jan 22].
Available from: http://hdl.handle.net/2144/19564.
Council of Science Editors:
Zhuo F. Essays on regime switching and DSGE models with applications to U.S. business cycle. [Doctoral Dissertation]. Boston University; 2016. Available from: http://hdl.handle.net/2144/19564
University of Cambridge
26.
Heald, James Barry.
Sensorimotor learning under switching dynamics.
Degree: PhD, 2020, University of Cambridge
URL: https://www.repository.cam.ac.uk/handle/1810/301826
► Humans have a remarkable capacity to learn new motor behaviours without forgetting old ones. This capacity relies on the ability to acquire and express multiple…
(more)
▼ Humans have a remarkable capacity to learn new motor behaviours without forgetting old ones. This capacity relies on the ability to acquire and express multiple motor memories without interference. Here we combine behavioural experiments and computational modelling to investigate how the sensorimotor system uses contextual information to create, update and recall motor memories. We first examine the role of muscle co-contraction in the learning of novel movement dynamics. We show that muscle co-contraction, as measured by surface electromyography, accelerates motor learning. We then explore the role of control points on objects in the formation of motor memories during object manipulation. We show that opposing dynamic perturbations, which interfere when controlling a single location on an object, can be learned when each is associated with a separate control point. To account for these results, we develop a parametric switching state-space model, in which the association between cues (control points) and contexts (dynamics) is learned from experience rather than fixed. We then extend this model to a Bayesian nonparametric switching state-space model, in which the number of contexts and cues are learned online rather than specified in advance. This model can instantiate new memories when novel perturbations are experienced and exhibits spontaneous recovery of a memory that has been ostensibly overwritten. To test the model, we perform an experiment in which we briefly present a previously experienced perturbation after behaviour has returned to baseline. As predicted, we observe a qualitatively distinct and more pronounced form of recovery, which we refer to as evoked recovery. Finally, we investigate Bayesian context estimation using single-trial learning. We show that people are able to learn novel associations between cues and contexts and that they use both contextual cues and state feedback to infer the current context and partition learning between memories. Taken together, these findings further the understanding of the behaviour and computational principles of sensorimotor learning under switching dynamics.
Subjects/Keywords: motor learning; motor control; context estimation; Bayesian inference; nonparametric switching state-space model
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APA ·
Chicago ·
MLA ·
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CSE |
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APA (6th Edition):
Heald, J. B. (2020). Sensorimotor learning under switching dynamics. (Doctoral Dissertation). University of Cambridge. Retrieved from https://www.repository.cam.ac.uk/handle/1810/301826
Chicago Manual of Style (16th Edition):
Heald, James Barry. “Sensorimotor learning under switching dynamics.” 2020. Doctoral Dissertation, University of Cambridge. Accessed January 22, 2021.
https://www.repository.cam.ac.uk/handle/1810/301826.
MLA Handbook (7th Edition):
Heald, James Barry. “Sensorimotor learning under switching dynamics.” 2020. Web. 22 Jan 2021.
Vancouver:
Heald JB. Sensorimotor learning under switching dynamics. [Internet] [Doctoral dissertation]. University of Cambridge; 2020. [cited 2021 Jan 22].
Available from: https://www.repository.cam.ac.uk/handle/1810/301826.
Council of Science Editors:
Heald JB. Sensorimotor learning under switching dynamics. [Doctoral Dissertation]. University of Cambridge; 2020. Available from: https://www.repository.cam.ac.uk/handle/1810/301826
Delft University of Technology
27.
Lonsain, J. (author).
Aeroelastic analysis of a 3D wing structure with a flexible trailing edge.
Degree: 2017, Delft University of Technology
URL: http://resolver.tudelft.nl/uuid:0e795e6d-ddc8-4710-b92a-adf1ee3cbdd7
► Aeroelastic analyses traditionally consider the airfoil of a wing to remain rigid, only allowing deformation in the span-wise direction of the wing. Recent investigations have…
(more)
▼ Aeroelastic analyses traditionally consider the airfoil of a wing to remain rigid, only allowing deformation in the span-wise direction of the wing. Recent investigations have shown the benefits of adding chord-wise flexibility in the trailing edge of a wing, however so far only two-dimensional studies have been carried out. Therefore, the investigation presented here determines whether chord-wise flexibility in the trailing edge improves aeroelastic behaviour for three-dimensional wing structures as well. To determine whether chord-wise flexibility improves the aeroelastic characteristics, a dynamic aeroelastic state-space model is built to compute the flow velocity at which the wing structure becomes instable and a closely coupled static model to compute the steady aerodynamic loads. Linear Timoshenko beam finite elements are used to represent the wing-box structure and are part of the existing aeroelastic framework PROTEUS, which is developed at the TU Delft. Linear flat shell elements are used to model the structure of the flexible trailing edge and rigid links couple these elements to the wing-box structure. The aerodynamic model in PROTEUS is modified in such a way that individual panel forces are extracted and trailing edge deformation can be transferred to these panels. By varying the thickness of a quasi-isotropic carbon fibre laminate in the trailing edge, its flexibility is managed. It was found that increasing the flexibility of the trailing edge increases the flutter speed of the wing in a similar manner as with a 2D typical section. A difference with a 2D typical section is that in the region of plate flutter, mode jumps occur due to span-wise deflection of the wing-box. If only part of the wing in span-wise direction is equipped with a flexible trailing edge, the flutter speed can be increased more effectively by positioning it towards the tip of the wing. The downside of increased trailing edge flexibility is the reduction in steady lift generated by such a wing.
Aerospace Engineering
Aerospace Structures and Materials
Advisors/Committee Members: De Breuker, R. (mentor), Sodja, J. (mentor).
Subjects/Keywords: Aeroelasticity; Chord-wise flexibility; Finite element model; Plate elements; Vortex-lattice method; State-space system
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APA ·
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APA (6th Edition):
Lonsain, J. (. (2017). Aeroelastic analysis of a 3D wing structure with a flexible trailing edge. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:0e795e6d-ddc8-4710-b92a-adf1ee3cbdd7
Chicago Manual of Style (16th Edition):
Lonsain, J (author). “Aeroelastic analysis of a 3D wing structure with a flexible trailing edge.” 2017. Masters Thesis, Delft University of Technology. Accessed January 22, 2021.
http://resolver.tudelft.nl/uuid:0e795e6d-ddc8-4710-b92a-adf1ee3cbdd7.
MLA Handbook (7th Edition):
Lonsain, J (author). “Aeroelastic analysis of a 3D wing structure with a flexible trailing edge.” 2017. Web. 22 Jan 2021.
Vancouver:
Lonsain J(. Aeroelastic analysis of a 3D wing structure with a flexible trailing edge. [Internet] [Masters thesis]. Delft University of Technology; 2017. [cited 2021 Jan 22].
Available from: http://resolver.tudelft.nl/uuid:0e795e6d-ddc8-4710-b92a-adf1ee3cbdd7.
Council of Science Editors:
Lonsain J(. Aeroelastic analysis of a 3D wing structure with a flexible trailing edge. [Masters Thesis]. Delft University of Technology; 2017. Available from: http://resolver.tudelft.nl/uuid:0e795e6d-ddc8-4710-b92a-adf1ee3cbdd7
Delft University of Technology
28.
Grimbergen, Sherin (author).
The State Space Formulation of Active Inference: Towards Brain-Inspired Robot Control.
Degree: 2019, Delft University of Technology
URL: http://resolver.tudelft.nl/uuid:0f56c37c-d22b-478b-8a85-dca615a8f419
► This thesis provides an exposition of the theory of Active Inference in a control theoretic context. Active Inference is a remarkably powerful neuroscientific theory that…
(more)
▼ This thesis provides an exposition of the theory of Active Inference in a control theoretic context. Active Inference is a remarkably powerful neuroscientific theory that unifies many characteristics of the biological brain. As such, Active Inference provides a valid inspiration in search of improvements in bio-inspired robot control algorithms. The literature on Active Inference however is narrow and complex. The goal of this thesis is to open the door research of Active Inference in robotics, by applying the theory to linear state space systems and exposing the relations and differences with established engineering paradigms. We provide a detailed account of several critical details, mainly the concept of generalized motions, that are commonly not understood from the scientific literature. A start in the performance analysis of the algorithm is made, by studying the effect of changes in several tuning parameters. Additionally, with Active Inference reformulated as a state space control system, it is shown that standard behavior such as stabilization and tracking can be achieved.
Systems and Control | Mechanical Engineering
Advisors/Committee Members: Wisse, Martijn (mentor), Mohajerin Esfahani, Peyman (mentor), Baldi, Simone (graduation committee), Oliehoek, Frans (graduation committee), Delft University of Technology (degree granting institution).
Subjects/Keywords: Active Inference; Free Energy Principle; State Space Model; Brain-Inspired; Robot Control
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APA ·
Chicago ·
MLA ·
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CSE |
Export
to Zotero / EndNote / Reference
Manager
APA (6th Edition):
Grimbergen, S. (. (2019). The State Space Formulation of Active Inference: Towards Brain-Inspired Robot Control. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:0f56c37c-d22b-478b-8a85-dca615a8f419
Chicago Manual of Style (16th Edition):
Grimbergen, Sherin (author). “The State Space Formulation of Active Inference: Towards Brain-Inspired Robot Control.” 2019. Masters Thesis, Delft University of Technology. Accessed January 22, 2021.
http://resolver.tudelft.nl/uuid:0f56c37c-d22b-478b-8a85-dca615a8f419.
MLA Handbook (7th Edition):
Grimbergen, Sherin (author). “The State Space Formulation of Active Inference: Towards Brain-Inspired Robot Control.” 2019. Web. 22 Jan 2021.
Vancouver:
Grimbergen S(. The State Space Formulation of Active Inference: Towards Brain-Inspired Robot Control. [Internet] [Masters thesis]. Delft University of Technology; 2019. [cited 2021 Jan 22].
Available from: http://resolver.tudelft.nl/uuid:0f56c37c-d22b-478b-8a85-dca615a8f419.
Council of Science Editors:
Grimbergen S(. The State Space Formulation of Active Inference: Towards Brain-Inspired Robot Control. [Masters Thesis]. Delft University of Technology; 2019. Available from: http://resolver.tudelft.nl/uuid:0f56c37c-d22b-478b-8a85-dca615a8f419
University of Cambridge
29.
Heald, James Barry.
Sensorimotor learning under switching dynamics.
Degree: PhD, 2020, University of Cambridge
URL: https://doi.org/10.17863/CAM.48894
;
https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.801743
► Humans have a remarkable capacity to learn new motor behaviours without forgetting old ones. This capacity relies on the ability to acquire and express multiple…
(more)
▼ Humans have a remarkable capacity to learn new motor behaviours without forgetting old ones. This capacity relies on the ability to acquire and express multiple motor memories without interference. Here we combine behavioural experiments and computational modelling to investigate how the sensorimotor system uses contextual information to create, update and recall motor memories. We first examine the role of muscle co-contraction in the learning of novel movement dynamics. We show that muscle co-contraction, as measured by surface electromyography, accelerates motor learning. We then explore the role of control points on objects in the formation of motor memories during object manipulation. We show that opposing dynamic perturbations, which interfere when controlling a single location on an object, can be learned when each is associated with a separate control point. To account for these results, we develop a parametric switching state-space model, in which the association between cues (control points) and contexts (dynamics) is learned from experience rather than fixed. We then extend this model to a Bayesian nonparametric switching state-space model, in which the number of contexts and cues are learned online rather than specified in advance. This model can instantiate new memories when novel perturbations are experienced and exhibits spontaneous recovery of a memory that has been ostensibly overwritten. To test the model, we perform an experiment in which we briefly present a previously experienced perturbation after behaviour has returned to baseline. As predicted, we observe a qualitatively distinct and more pronounced form of recovery, which we refer to as evoked recovery. Finally, we investigate Bayesian context estimation using single-trial learning. We show that people are able to learn novel associations between cues and contexts and that they use both contextual cues and state feedback to infer the current context and partition learning between memories. Taken together, these findings further the understanding of the behaviour and computational principles of sensorimotor learning under switching dynamics.
Subjects/Keywords: motor learning; motor control; context estimation; Bayesian inference; nonparametric switching state-space model
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« Share
❌
APA ·
Chicago ·
MLA ·
Vancouver ·
CSE |
Export
to Zotero / EndNote / Reference
Manager
APA (6th Edition):
Heald, J. B. (2020). Sensorimotor learning under switching dynamics. (Doctoral Dissertation). University of Cambridge. Retrieved from https://doi.org/10.17863/CAM.48894 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.801743
Chicago Manual of Style (16th Edition):
Heald, James Barry. “Sensorimotor learning under switching dynamics.” 2020. Doctoral Dissertation, University of Cambridge. Accessed January 22, 2021.
https://doi.org/10.17863/CAM.48894 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.801743.
MLA Handbook (7th Edition):
Heald, James Barry. “Sensorimotor learning under switching dynamics.” 2020. Web. 22 Jan 2021.
Vancouver:
Heald JB. Sensorimotor learning under switching dynamics. [Internet] [Doctoral dissertation]. University of Cambridge; 2020. [cited 2021 Jan 22].
Available from: https://doi.org/10.17863/CAM.48894 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.801743.
Council of Science Editors:
Heald JB. Sensorimotor learning under switching dynamics. [Doctoral Dissertation]. University of Cambridge; 2020. Available from: https://doi.org/10.17863/CAM.48894 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.801743
University of New South Wales
30.
Wu, Hao.
Estimating Net Effects of Tax System Complexity in Australia.
Degree: Taxation and Business Law, 2014, University of New South Wales
URL: http://handle.unsw.edu.au/1959.4/53599
;
https://unsworks.unsw.edu.au/fapi/datastream/unsworks:12294/SOURCE02?view=true
► This research considers the net effects of the tax system complexity in Australia, at the federal government level. The net effects of tax system complexity…
(more)
▼ This research considers the net effects of the tax system complexity in Australia, at the federal government level. The net effects of tax system complexity have been defined as both the short- and long-term effects of tax operating costs on the Gross Domestic Product (GDP). Since annual estimates of tax compliance costs from empirical studies are not available, an alternative method to estimate tax compliance costs must first be provided.A
state space and Kalman filter
model was employed to estimate a series of annual percentage changes in tax system complexity. A series of annual tax compliance costs can then be generated based on tax compliance survey results for 1995 (Evans et al. 1997) and the assumption that tax system complexity fundamentally explains why tax compliance costs change over time. A vector error-correction
model (VECM) was constructed to analyse the net effects of tax system complexity given that VECM can estimate short- and long-term relationships simultaneously.A series of tax compliance costs for the period between financial years 196566 and 201112, was generated. The simulated data show that tax system complexity is highly persistent. Tax operating costs were found to have a negative effect on the gross domestic product (GDP) in the long run. It was estimated that a 1% increase in real tax operating costs can lead to a 0.122% decrease in real GDP in the long run. The short-term relationships tax operating costs and the GDP were simulated based on the VECM. An initial decline in the GDP in response to an increased tax operating costs was evident and was followed by a steady recovery. Approximately seven years after the initial shock, the increase in tax operating costs can contribute to the GDP growth, but this positive relationship slowly dissolved over time. Finally, it was found that tax revenue had a slow diminishing tendency, which suggests that existing tax laws eventually become ineffective in raising revenue.
Advisors/Committee Members: Tran-Nam, Binh, Taxation and Business Law, Australian School of Business, UNSW, Lignier, Philip, Tasmania School of Business and Economics, University of Tasmania.
Subjects/Keywords: State space model; Tax system complexity; Tax compliance costs; Time series analysis
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APA ·
Chicago ·
MLA ·
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CSE |
Export
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Manager
APA (6th Edition):
Wu, H. (2014). Estimating Net Effects of Tax System Complexity in Australia. (Masters Thesis). University of New South Wales. Retrieved from http://handle.unsw.edu.au/1959.4/53599 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:12294/SOURCE02?view=true
Chicago Manual of Style (16th Edition):
Wu, Hao. “Estimating Net Effects of Tax System Complexity in Australia.” 2014. Masters Thesis, University of New South Wales. Accessed January 22, 2021.
http://handle.unsw.edu.au/1959.4/53599 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:12294/SOURCE02?view=true.
MLA Handbook (7th Edition):
Wu, Hao. “Estimating Net Effects of Tax System Complexity in Australia.” 2014. Web. 22 Jan 2021.
Vancouver:
Wu H. Estimating Net Effects of Tax System Complexity in Australia. [Internet] [Masters thesis]. University of New South Wales; 2014. [cited 2021 Jan 22].
Available from: http://handle.unsw.edu.au/1959.4/53599 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:12294/SOURCE02?view=true.
Council of Science Editors:
Wu H. Estimating Net Effects of Tax System Complexity in Australia. [Masters Thesis]. University of New South Wales; 2014. Available from: http://handle.unsw.edu.au/1959.4/53599 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:12294/SOURCE02?view=true
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Open Access Theses and Dissertations