subject:( Monte Carlo method)

Oregon State University

1. Talbot, Paul W. Extending the discrete maximum principle for the IMC equations.

Degree: MS, Nuclear Engineering, 2012, Oregon State University

URL: http://hdl.handle.net/1957/36503

► The implicit Monte Carlo (IMC) method [16] for radiative transfer, developed in 1971, provides numerical solutions to the tightly-coupled, highly-nonlinear radiative heat transfer equations in… (more)

▼ The implicit Monte Carlo (IMC) method [16] for radiative transfer, developed in 1971, provides numerical solutions to the tightly-coupled, highly-nonlinear radiative heat transfer equations in many physical situations. Despite its popularity, there are instances of overheating in the solution for particular choices of time steps and spatial grid sizes. To prevent overheating, conditions on teh time step size Δt have been sought to ensure that the implicit Monte Carlo (IMC) equations satisfy a maximum principle. Most recently, a discrete maximum principle (DMP) for teh IMC equations has been developed [32] that predicts the necessary time step size for boundedness given the spatial grid size. Predictions given by this DMP assumed equilibrium thermal initial conditions, was developed using pseudo-analytic and symbolic algebra tools that are computationally expensive, has only been applied to one-dimensional Marshak wave problems, and has not considered the evolution of the DMP predictions over multiple time steps. These limitations restrict the utility of the DMP predictions. We extend the DMP derivation to overcome these limitations and provide an algorithm that can be introduced into IMC codes with minimal impact on simulation CPU time. This extended DMP effectively treats non-equilibrium thermal initial conditions, decreases calculation time by using multigroup approximations in frequency, considers multiple spatial dimensions with an arbitrary number of neighboring sources, and overcomes inherent difficulties for the DMP in time-dependent problems. Disequilibrium in the initial conditions is introduced through a redefinition of existing terms from [32] to different radiation and material temperatures on the first time step. This results in a limiting DMP inequality similar in form to the original. Multifrequency approximations are then applied by assuming separation of variables. Energy deposition from multiple sources is assumed to follow linear superposition and the DMP from [32] is re-derived to incorporate multiple incident sources of energy in multiple dimensions. Lastly, an inherent flaw in the DMP resulting in poor predictions when temperature varies slowly over a region is overcome by developing a threshold temperature difference, above which the DMP operates. We have numerically implemented these improvements and validated the results against IMC solutions, showing the predictive capacity of the more general DMP algorithm. We find the disequlibrium conditions to be properly incorporated into the DMP, and multifrequency approximations to be accurate over a large range of time step and spatial grid sizes. The linear superposition assumption is generally very accurate, but infrequently leads to DMP predictions which are not conservative. We also demonstrate that the temperature difference threshold prevents inaccurate predictions by the DMP while preserving its functionality. Advisors/Committee Members: Palmer, Todd S. (advisor), Wollaber, Allan B. (committee member).

Subjects/Keywords: Monte Carlo method

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APA (6^th Edition):

Talbot, P. W. (2012). Extending the discrete maximum principle for the IMC equations. (Masters Thesis). Oregon State University. Retrieved from http://hdl.handle.net/1957/36503

Chicago Manual of Style (16^th Edition):

Talbot, Paul W. “Extending the discrete maximum principle for the IMC equations.” 2012. Masters Thesis, Oregon State University. Accessed December 13, 2019. http://hdl.handle.net/1957/36503.

MLA Handbook (7^th Edition):

Talbot, Paul W. “Extending the discrete maximum principle for the IMC equations.” 2012. Web. 13 Dec 2019.

Vancouver:

Talbot PW. Extending the discrete maximum principle for the IMC equations. [Internet] [Masters thesis]. Oregon State University; 2012. [cited 2019 Dec 13]. Available from: http://hdl.handle.net/1957/36503.

Council of Science Editors:

Talbot PW. Extending the discrete maximum principle for the IMC equations. [Masters Thesis]. Oregon State University; 2012. Available from: http://hdl.handle.net/1957/36503

2. Bhatia, Saurav. Non-Rayleigh scattering by a randomly oriented elongated scatterer.

Degree: 2012, MIT and Woods Hole Oceanographic Institution

URL: http://hdl.handle.net/1912/5415

► The echo statistics of a randomly rough, randomly oriented prolate spheroid that is randomly located in a beampattern are investigated from physics-based principles both analytically… (more)

Subjects/Keywords: Monte Carlo method

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APA (6^th Edition):

Bhatia, S. (2012). Non-Rayleigh scattering by a randomly oriented elongated scatterer. (Thesis). MIT and Woods Hole Oceanographic Institution. Retrieved from http://hdl.handle.net/1912/5415

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Bhatia, Saurav. “Non-Rayleigh scattering by a randomly oriented elongated scatterer.” 2012. Thesis, MIT and Woods Hole Oceanographic Institution. Accessed December 13, 2019. http://hdl.handle.net/1912/5415.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Bhatia, Saurav. “Non-Rayleigh scattering by a randomly oriented elongated scatterer.” 2012. Web. 13 Dec 2019.

Vancouver:

Bhatia S. Non-Rayleigh scattering by a randomly oriented elongated scatterer. [Internet] [Thesis]. MIT and Woods Hole Oceanographic Institution; 2012. [cited 2019 Dec 13]. Available from: http://hdl.handle.net/1912/5415.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Bhatia S. Non-Rayleigh scattering by a randomly oriented elongated scatterer. [Thesis]. MIT and Woods Hole Oceanographic Institution; 2012. Available from: http://hdl.handle.net/1912/5415

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Hong Kong University of Science and Technology

3. Sun, Lihua. Essays on monte carlo simulation and financial engineering.

Degree: 2010, Hong Kong University of Science and Technology

URL: https://doi.org/10.14711/thesis-b1115868 ; http://repository.ust.hk/ir/bitstream/1783.1-7911/1/th_redirect.html

► This thesis deals with three problems in financial engineering and Monte Carlo simulation.We first price a financial derivative which is called stock loan under Kou’s… (more)

▼ This thesis deals with three problems in financial engineering and Monte Carlo simulation.We first price a financial derivative which is called stock loan under Kou’s double-exponential jump diffusion process. To solve this problem, we first formulate the valuation of a stock loan as pricing of an American call option with a time-dependent strike. We then investigate pricing problems of both infinite- and finite-maturity stock loans. In the infinite-maturity case, we obtain a closed-form pricing formula by deriving the moment generating function of the first passage time for the double-exponential jump diffusion process and solving the related optimal stopping problem. In the finite-maturity case, we provide an analytical approximation to the stock loan price by solving an ordinary integro-differential equation explicitly. Numerical experiments demonstrate the accuracy of our pricing methods. The second part of the thesis deals with the importance sampling (IS) estimators of Value-at-Risk (VaR) and Conditional Value-at-Risk (CVaR). We first derive asymptotic representations of VaR and CVaR , and then prove the asymptotic properties of the IS estimators of VaR and CVaR, e.g., asymptotic convergence property and asymptotic normality property, under some weak condition of the likelihood ratio function based on the representations. At last, we provide simple conditions for IS procedures to be effective. The third part of the thesis provides a Gaussian process-based search (GPS) for finding out global optima of discrete black-box functions which can only be estimated via simulation. The most critical issue for this kind of optimization problems is the tradeoff between exploitation and exploration. We first give a general adaptive random search framework and discuss the desired properties of the sampling distribution to balance exploitation and exploration. A Gaussian process is then proposed to facilitate constructing the sampling distribution. This Gaussian process-based algorithm, is fast to construct, can balance exploitation and exploration automatically, and is provable convergent under some weak conditions. The numerical performance of the algorithm is quite good.

Subjects/Keywords: Monte Carlo method; Financial engineering

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APA (6^th Edition):

Sun, L. (2010). Essays on monte carlo simulation and financial engineering. (Thesis). Hong Kong University of Science and Technology. Retrieved from https://doi.org/10.14711/thesis-b1115868 ; http://repository.ust.hk/ir/bitstream/1783.1-7911/1/th_redirect.html

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Sun, Lihua. “Essays on monte carlo simulation and financial engineering.” 2010. Thesis, Hong Kong University of Science and Technology. Accessed December 13, 2019. https://doi.org/10.14711/thesis-b1115868 ; http://repository.ust.hk/ir/bitstream/1783.1-7911/1/th_redirect.html.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Sun, Lihua. “Essays on monte carlo simulation and financial engineering.” 2010. Web. 13 Dec 2019.

Vancouver:

Sun L. Essays on monte carlo simulation and financial engineering. [Internet] [Thesis]. Hong Kong University of Science and Technology; 2010. [cited 2019 Dec 13]. Available from: https://doi.org/10.14711/thesis-b1115868 ; http://repository.ust.hk/ir/bitstream/1783.1-7911/1/th_redirect.html.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Sun L. Essays on monte carlo simulation and financial engineering. [Thesis]. Hong Kong University of Science and Technology; 2010. Available from: https://doi.org/10.14711/thesis-b1115868 ; http://repository.ust.hk/ir/bitstream/1783.1-7911/1/th_redirect.html

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

University of Hong Kong

4. 陳卓銘; Chan, Cheuk-ming. Monte Carlo simulation in PET instrumentation.

Degree: Master of Medical Sciences, 2015, University of Hong Kong

URL: Chan, C. [陳卓銘]. (2015). Monte Carlo simulation in PET instrumentation. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b5611979 ; http://hdl.handle.net/10722/221462

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Proton therapy is one of the most precise modalities of external radiation therapy. Compared to the conventional photon therapy, due to the present of Bragg… (more)

Subjects/Keywords: Monte Carlo method; Tomography, Emission

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APA (6^th Edition):

陳卓銘; Chan, C. (2015). Monte Carlo simulation in PET instrumentation. (Masters Thesis). University of Hong Kong. Retrieved from Chan, C. [陳卓銘]. (2015). Monte Carlo simulation in PET instrumentation. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b5611979 ; http://hdl.handle.net/10722/221462

Chicago Manual of Style (16^th Edition):

陳卓銘; Chan, Cheuk-ming. “Monte Carlo simulation in PET instrumentation.” 2015. Masters Thesis, University of Hong Kong. Accessed December 13, 2019. Chan, C. [陳卓銘]. (2015). Monte Carlo simulation in PET instrumentation. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b5611979 ; http://hdl.handle.net/10722/221462.

MLA Handbook (7^th Edition):

陳卓銘; Chan, Cheuk-ming. “Monte Carlo simulation in PET instrumentation.” 2015. Web. 13 Dec 2019.

Vancouver:

陳卓銘; Chan C. Monte Carlo simulation in PET instrumentation. [Internet] [Masters thesis]. University of Hong Kong; 2015. [cited 2019 Dec 13]. Available from: Chan, C. [陳卓銘]. (2015). Monte Carlo simulation in PET instrumentation. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b5611979 ; http://hdl.handle.net/10722/221462.

Council of Science Editors:

陳卓銘; Chan C. Monte Carlo simulation in PET instrumentation. [Masters Thesis]. University of Hong Kong; 2015. Available from: Chan, C. [陳卓銘]. (2015). Monte Carlo simulation in PET instrumentation. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b5611979 ; http://hdl.handle.net/10722/221462

Oregon State University

5. Lewis, Paul (Paul Arthur). Ensemble Monte-Carlo planning : an empirical study.

Degree: MS, Computer Science, 2010, Oregon State University

URL: http://hdl.handle.net/1957/16472

► Monte-Carlo planning algorithms such as UCT make decisions at each step by intelligently expanding a single search tree given the available time and then selecting… (more)

Subjects/Keywords: planning; Monte Carlo method

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APA (6^th Edition):

Lewis, P. (. A. (2010). Ensemble Monte-Carlo planning : an empirical study. (Masters Thesis). Oregon State University. Retrieved from http://hdl.handle.net/1957/16472

Chicago Manual of Style (16^th Edition):

Lewis, Paul (Paul Arthur). “Ensemble Monte-Carlo planning : an empirical study.” 2010. Masters Thesis, Oregon State University. Accessed December 13, 2019. http://hdl.handle.net/1957/16472.

MLA Handbook (7^th Edition):

Lewis, Paul (Paul Arthur). “Ensemble Monte-Carlo planning : an empirical study.” 2010. Web. 13 Dec 2019.

Vancouver:

Lewis P(A. Ensemble Monte-Carlo planning : an empirical study. [Internet] [Masters thesis]. Oregon State University; 2010. [cited 2019 Dec 13]. Available from: http://hdl.handle.net/1957/16472.

Council of Science Editors:

Lewis P(A. Ensemble Monte-Carlo planning : an empirical study. [Masters Thesis]. Oregon State University; 2010. Available from: http://hdl.handle.net/1957/16472

Stellenbosch University

6. Blanckenberg, J. P (Jacobus Petrus). Monte Carlo simulation of direction sensitive antineutrino detection.

Degree: Physics, 2010, Stellenbosch University

URL: http://hdl.handle.net/10019.1/2885

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Thesis (MSc (Physics)) – University of Stellenbosch, 2010.

ENGLISH ABSTRACT: Neutrino and antineutrino detection is a fairly new eld of experimental physics, mostly due to the… (more)

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Thesis (MSc (Physics)) – University of Stellenbosch, 2010.

ENGLISH ABSTRACT: Neutrino and antineutrino detection is a fairly new eld of experimental physics, mostly due to the small interaction cross section of these particles. Most of the detectors in use today are huge detectors consisting of kilotons of scintilator material and large arrays of photomultiplier tubes. Direction sensitive antineutrino detection has however, not been done (at the time of writing of this thesis). In order to establish the feasibility of direction sensitive antineutrino detection, a Monte Carlo code, DSANDS, was written to simulate the detection process. This code focuses on the neutron and positron (the reaction products after capture on a proton) transport through scintilator media. The results are then used to determine the original direction of the antineutrino, in the same way that data from real detectors would be used, and to compare it with the known direction. Further investigation is also carried out into the required amount of statistics for accurate results in an experimental eld where detection events are rare. Results show very good directional sensitivity of the detection method.

AFRIKAANSE OPSOMMING: Neutrino en antineutrino meting is 'n relatief nuwe veld in eksperimentele sika, hoofsaaklik as gevolg van die klein interaksie deursnee van hierdie deeltjies. Die meeste hedendaagse detektors is massiewe detektors met kilotonne sintilator materiaal en groot aantalle fotovermenigvuldiger buise. Tans is rigting sensitiewe antineutrino metings egter nog nie uit gevoer nie. 'n Monte Carlo kode, DSANDS, is geskryf om die meet proses te simuleer en sodoende die uitvoerbaarheid van rigting sensitiewe antineutrino metings vas te stel. Hierdie kode fokus op die beweging van neutrone en positrone (die reaksie produkte) deur die sintilator medium. Die resultate word dan gebruik om die oorspronklike rigting van die antineutrino te bepaal, soos met data van regte detektors gedoen sou word, en te vergelyk met die bekende oorspronklike rigting van die antineutrino. Verder word daar ook gekyk na die hoeveelheid statistiek wat nodig sal wees om akkurate resultate te kry in 'n veld waar metings baie skaars is. Die resultate wys baie goeie rigting sensitiwiteit van die meet metode.

Advisors/Committee Members: Van der Ventel, B. I. S., Smit, F. D., University of Stellenbosch. Faculty of Science. Dept. of Physics. Nuclear Physics..

Subjects/Keywords: Physics; Monte Carlo method; Antineutrinos

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APA (6^th Edition):

Blanckenberg, J. P. (. P. (2010). Monte Carlo simulation of direction sensitive antineutrino detection. (Thesis). Stellenbosch University. Retrieved from http://hdl.handle.net/10019.1/2885

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Blanckenberg, J P (Jacobus Petrus). “Monte Carlo simulation of direction sensitive antineutrino detection.” 2010. Thesis, Stellenbosch University. Accessed December 13, 2019. http://hdl.handle.net/10019.1/2885.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Blanckenberg, J P (Jacobus Petrus). “Monte Carlo simulation of direction sensitive antineutrino detection.” 2010. Web. 13 Dec 2019.

Vancouver:

Blanckenberg JP(P. Monte Carlo simulation of direction sensitive antineutrino detection. [Internet] [Thesis]. Stellenbosch University; 2010. [cited 2019 Dec 13]. Available from: http://hdl.handle.net/10019.1/2885.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Blanckenberg JP(P. Monte Carlo simulation of direction sensitive antineutrino detection. [Thesis]. Stellenbosch University; 2010. Available from: http://hdl.handle.net/10019.1/2885

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

University of Texas Southwestern Medical Center

7. Pidikiti, Rajesh 1982-. Development of Monte Carlo Treatment Planning and Dosimetry System for Small Animal Irradiator.

Degree: 2012, University of Texas Southwestern Medical Center

URL: http://hdl.handle.net/2152.5/ETD-UTSWMED-2012-12-53

► This work utilizes Monte Carlo simulation techniques to build a model of an x-ray tube in order to develop Monte Carlo treatment planning system for… (more)

▼ This work utilizes Monte Carlo simulation techniques to build a model of an x-ray tube in order to develop Monte Carlo treatment planning system for a small animal irradiator. To accomplish this, the absolute dose calibration of the irradiator performed in accordance with the recommendations of AAPM TG-61 protocol. Both in-air and in-water calibrations were performed at a 30.5 cm source-to-surface distance (SSD) for the reference applicator 40x40 mm2 square field size. The BEAM/EGS was used to model 225 kV photon beams from a small animal irradiator (Precision XRAD225). The Monte Carlo model was extensively tuned to provide good agreement with achievable measurements of the beam characteristics (e.g. PDD and off-axis ratios). Subsequently, output factors for various square and circular applicators were measured using different dosimeters (ionization chamber, radiochromic film) and compared with MC simulations. The standard gamma index method with AAPM TG 53 recommendations are used to benchmark the measurements (radio chromic film) against planar dose (Monte Carlo simulation) along with isodose lines and profiles in both homogeneous and heterogeneous mediums. The statistical uncertainty on the MC-calculated results is between 0.5% and 2% for most points. The CBCT images obtained on the XRAD 225Cx irradiator were converted to a material /density matrix as an input to DOSXYZnrc a MC dose computation module. The measured and computed point doses and isodose distributions were compared using the gamma index method. The absolute dose measured for reference collimator at 30.5 cm SSD in water and in air is 3.42 and 3.45 Gy/min. The agreement between simulated and measured dosimetric characteristics was excellent. For all fields, a good agreement is observed between measurements and calculations. Finally, a Monte Carlo treatment planning system for heterogeneous media is developed and validated. Monte Carlo simulation provides an indispensible tool for validating measurements of the smallest field sizes used in preclinical small animal irradiation. Advisors/Committee Members: Stojadinovic, Strahinja, Solberg, Timothy, Anderson, Jon, Foster, Ryan, Medin, Paul.

Subjects/Keywords: Calibration; Monte Carlo Method; Radiometry

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APA (6^th Edition):

Pidikiti, R. 1. (2012). Development of Monte Carlo Treatment Planning and Dosimetry System for Small Animal Irradiator. (Thesis). University of Texas Southwestern Medical Center. Retrieved from http://hdl.handle.net/2152.5/ETD-UTSWMED-2012-12-53

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Pidikiti, Rajesh 1982-. “Development of Monte Carlo Treatment Planning and Dosimetry System for Small Animal Irradiator.” 2012. Thesis, University of Texas Southwestern Medical Center. Accessed December 13, 2019. http://hdl.handle.net/2152.5/ETD-UTSWMED-2012-12-53.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Pidikiti, Rajesh 1982-. “Development of Monte Carlo Treatment Planning and Dosimetry System for Small Animal Irradiator.” 2012. Web. 13 Dec 2019.

Vancouver:

Pidikiti R1. Development of Monte Carlo Treatment Planning and Dosimetry System for Small Animal Irradiator. [Internet] [Thesis]. University of Texas Southwestern Medical Center; 2012. [cited 2019 Dec 13]. Available from: http://hdl.handle.net/2152.5/ETD-UTSWMED-2012-12-53.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Pidikiti R1. Development of Monte Carlo Treatment Planning and Dosimetry System for Small Animal Irradiator. [Thesis]. University of Texas Southwestern Medical Center; 2012. Available from: http://hdl.handle.net/2152.5/ETD-UTSWMED-2012-12-53

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Rutgers University

8. Smith, Beverly Veronica. Product design and product portfolio modeled integration and optimization.

Degree: PhD, Chemical and Biochemical Engineering, 2010, Rutgers University

URL: http://hdl.rutgers.edu/1782.1/rucore10001600001.ETD.000056778

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In this work we developed decision support frameworks that relied on the modeling of multidisciplinary integration to enable the selection of optimal product design alternative… (more)

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In this work we developed decision support frameworks that relied on the modeling of multidisciplinary integration to enable the selection of optimal product design alternative and to facilitate efficient chemical product design planning and execution. In recent years, the design of chemical products has received renewed and growing interest, as the industry transitions from a dominant bulk chemical product portfolio to one of high value-add specialty products that focus on product end-use properties. This industry shift results from the onset of global competitive pressures accompanied by intense market and consumer demand for improved product quality, lower product cost, shortened development cycle and greater product differentiation. Concurrently, the chemical manufacturers of commodity products are faced with pricing pressures and limited cost reduction options. The existence of these challenging market situations demand the adoption of rapid and efficient product design approaches that leverage specialized capabilities across disciplines within the chemical enterprise. The findings from a recent industry benchmark study, conducted as a part of this research, supported the motivation for this work. An assessment of current industry practices involving 15 chemical manufacturers revealed varying levels of organizational maturity as it relates to multidisciplinary and cross-functional leveraging of knowledge in product design undertaking. The chemical manufacturers were evaluated on current practices of integrating consumer preferences, product-process integration and practices of linking business decisions into the product design process. The investigation revealed the absence of formalized frameworks to integrate the critical resources necessary to support optimal product performance and design process execution. In this study, the set of decision support procedures formalize the interaction between product design and product portfolio decision making by integrating critical elements of both domains. Hence the methodologies incorporates structural framework to forge strategic alignment while optimizing domain interaction with an aim to minimize cost, reduce cycle time and determine optimal product design alternative. Embedded industry case studies illustrate the application of the proposed methodologies which utilize a hybrid approach, involving the application of structural frameworks for domain integration, along with Monte Carlo Simulation and algorithmic processing to optimize the product design planning and execution process.

Advisors/Committee Members: Smith, Beverly Veronica (author), Ierapetritou, Marianthi G. (chair), Shapley, Nina (internal member), Androulakis, Ioannis (internal member), Lubiak, Stephen (outside member).

Subjects/Keywords: Product design; Monte Carlo method

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APA (6^th Edition):

Smith, B. V. (2010). Product design and product portfolio modeled integration and optimization. (Doctoral Dissertation). Rutgers University. Retrieved from http://hdl.rutgers.edu/1782.1/rucore10001600001.ETD.000056778

Chicago Manual of Style (16^th Edition):

Smith, Beverly Veronica. “Product design and product portfolio modeled integration and optimization.” 2010. Doctoral Dissertation, Rutgers University. Accessed December 13, 2019. http://hdl.rutgers.edu/1782.1/rucore10001600001.ETD.000056778.

MLA Handbook (7^th Edition):

Smith, Beverly Veronica. “Product design and product portfolio modeled integration and optimization.” 2010. Web. 13 Dec 2019.

Vancouver:

Smith BV. Product design and product portfolio modeled integration and optimization. [Internet] [Doctoral dissertation]. Rutgers University; 2010. [cited 2019 Dec 13]. Available from: http://hdl.rutgers.edu/1782.1/rucore10001600001.ETD.000056778.

Council of Science Editors:

Smith BV. Product design and product portfolio modeled integration and optimization. [Doctoral Dissertation]. Rutgers University; 2010. Available from: http://hdl.rutgers.edu/1782.1/rucore10001600001.ETD.000056778

Rutgers University

9. Wang, Liang, 1991-. On parameter estimation of state space models and its applications.

Degree: PhD, Statistics and Biostatistics, 2018, Rutgers University

URL: https://rucore.libraries.rutgers.edu/rutgers-lib/57751/

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State space model is a class of models where the observations are driven by underlying stochastic processes. It is widely used in computer vision, economics… (more)

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State space model is a class of models where the observations are driven by underlying stochastic processes. It is widely used in computer vision, economics and financial data analysis, engineering, environmental sciences and etc. My thesis mainly addresses the parameter estimation problem of state space model and the applications of it. This thesis starts with a brief introduction and the motivation for studying the problems in the first chapter. The second chapter follows the first one by covering the main tools used to study the topics in the thesis. The general framework of state space models and its related filtering methods, Kalman Filtering for linear Gaussian models and sequential Monte Carlo for other cases, are introduced. The information criteria, as a tool for model selection, are also covered in this chapter. The parameter estimation problem is mainly discussed in the third chapter. Two algorithms under the general framework of Stochastic Approximation methods are proposed. These two algorithms attain much faster convergence rate and less computational cost by variance reduction techniques which utilize the property of sequential Monte Carlo methods. Two numerical examples are examined to compare the performance. Another contribution of Chapter 3 is the application of sequantial Monte Carlo methods in modeling and predicting the bond yield curve with regime-switching Dynamic Nelson-Siegel model. The fourth chapter, which is a joint work with Hao Chang, develops a state space model with regime switching to detect periodically collapsing rational bubbles in stock price. The present-value stock-price model is expressed in a state space form and the bubble process is modeled as a conditional dynamic linear system. The asset-bubble system is estimated by a novel sequential Monte Carlo based method, Mixture Kalman Filter (MKF). The efficacy of the proposed method is examined by simulated observations and real stock index of the US market. Another application of state space model with regime switching is discussed in the fifth chapter, in which real-time Blood Glucose Monitoring problem is addressed using a conditional dynamic linear system modeling. A study with a biostatistical dataset, Star 1 dataset, has shown the advantage of the proposed novel estimation framework. In the sixth chapter, a nonparametric regression model, l1 trend filtering method is discussed. Two trend filtering models out of state space representation, both of which have similar property as l1 trend filtering, are proposed. With the implementation of sequential Monte Carlo methods as well as a greedy Viterbi algorithm, both trend filtering models can operate on-line rather than just on batch data. To better emphasize the two models' improvement in on-line trend filtering, a real world econometrics topic is introduced. The econometric example shows the competence of trend filtering as well as the efficiency of the proposed models.

Advisors/Committee Members: Chen, Rong (chair), Tan, Zhiqiang (internal member), Xiao, Han (internal member), Wu, Yangru (outside member), School of Graduate Studies.

Subjects/Keywords: Stochastic models; Monte Carlo method

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APA (6^th Edition):

Wang, Liang, 1. (2018). On parameter estimation of state space models and its applications. (Doctoral Dissertation). Rutgers University. Retrieved from https://rucore.libraries.rutgers.edu/rutgers-lib/57751/

Chicago Manual of Style (16^th Edition):

Wang, Liang, 1991-. “On parameter estimation of state space models and its applications.” 2018. Doctoral Dissertation, Rutgers University. Accessed December 13, 2019. https://rucore.libraries.rutgers.edu/rutgers-lib/57751/.

MLA Handbook (7^th Edition):

Wang, Liang, 1991-. “On parameter estimation of state space models and its applications.” 2018. Web. 13 Dec 2019.

Vancouver:

Wang, Liang 1. On parameter estimation of state space models and its applications. [Internet] [Doctoral dissertation]. Rutgers University; 2018. [cited 2019 Dec 13]. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/57751/.

Council of Science Editors:

Wang, Liang 1. On parameter estimation of state space models and its applications. [Doctoral Dissertation]. Rutgers University; 2018. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/57751/

University of Missouri – Columbia

10. Saldivar, Issac. Direct Simulation Monte Carlo for modeling spatially homogeneous multi-component aerosols.

Degree: 2018, University of Missouri – Columbia

URL: http://hdl.handle.net/10355/68938

► Nuclear aerosols generated under normal operational and post-accident reactor environments are of particular importance in estimation of the nuclear source term. Several light water reactor… (more)

Subjects/Keywords: Aerosols, Radioactive; Monte Carlo method

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APA (6^th Edition):

Saldivar, I. (2018). Direct Simulation Monte Carlo for modeling spatially homogeneous multi-component aerosols. (Thesis). University of Missouri – Columbia. Retrieved from http://hdl.handle.net/10355/68938

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Saldivar, Issac. “Direct Simulation Monte Carlo for modeling spatially homogeneous multi-component aerosols.” 2018. Thesis, University of Missouri – Columbia. Accessed December 13, 2019. http://hdl.handle.net/10355/68938.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Saldivar, Issac. “Direct Simulation Monte Carlo for modeling spatially homogeneous multi-component aerosols.” 2018. Web. 13 Dec 2019.

Vancouver:

Saldivar I. Direct Simulation Monte Carlo for modeling spatially homogeneous multi-component aerosols. [Internet] [Thesis]. University of Missouri – Columbia; 2018. [cited 2019 Dec 13]. Available from: http://hdl.handle.net/10355/68938.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Saldivar I. Direct Simulation Monte Carlo for modeling spatially homogeneous multi-component aerosols. [Thesis]. University of Missouri – Columbia; 2018. Available from: http://hdl.handle.net/10355/68938

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

University of Edinburgh

11. Zhang, Yichuan. Scalable geometric Markov chain Monte Carlo.

Degree: PhD, 2016, University of Edinburgh

URL: http://hdl.handle.net/1842/20978

► Markov chain Monte Carlo (MCMC) is one of the most popular statistical inference methods in machine learning. Recent work shows that a significant improvement of… (more)

Subjects/Keywords: 519.2; Monte Carlo method

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APA (6^th Edition):

Zhang, Y. (2016). Scalable geometric Markov chain Monte Carlo. (Doctoral Dissertation). University of Edinburgh. Retrieved from http://hdl.handle.net/1842/20978

Chicago Manual of Style (16^th Edition):

Zhang, Yichuan. “Scalable geometric Markov chain Monte Carlo.” 2016. Doctoral Dissertation, University of Edinburgh. Accessed December 13, 2019. http://hdl.handle.net/1842/20978.

MLA Handbook (7^th Edition):

Zhang, Yichuan. “Scalable geometric Markov chain Monte Carlo.” 2016. Web. 13 Dec 2019.

Vancouver:

Zhang Y. Scalable geometric Markov chain Monte Carlo. [Internet] [Doctoral dissertation]. University of Edinburgh; 2016. [cited 2019 Dec 13]. Available from: http://hdl.handle.net/1842/20978.

Council of Science Editors:

Zhang Y. Scalable geometric Markov chain Monte Carlo. [Doctoral Dissertation]. University of Edinburgh; 2016. Available from: http://hdl.handle.net/1842/20978

University of Utah

12. Perry, Daniel James. Solving geometric constraint problems through Monte Carlo optimization.

Degree: MS;, Computing (School of);, 2008, University of Utah

URL: http://content.lib.utah.edu/cdm/singleitem/collection/etd2/id/248/rec/1045

► Geometric constraint problems appear in many situations, including CAD systems, robotics, and computational biology. The complexity of these problems inspires the search for efficient solutions.… (more)

Subjects/Keywords: Computer graphics; Geometric programming; Monte Carlo method

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APA (6^th Edition):

Perry, D. J. (2008). Solving geometric constraint problems through Monte Carlo optimization. (Masters Thesis). University of Utah. Retrieved from http://content.lib.utah.edu/cdm/singleitem/collection/etd2/id/248/rec/1045

Chicago Manual of Style (16^th Edition):

Perry, Daniel James. “Solving geometric constraint problems through Monte Carlo optimization.” 2008. Masters Thesis, University of Utah. Accessed December 13, 2019. http://content.lib.utah.edu/cdm/singleitem/collection/etd2/id/248/rec/1045.

MLA Handbook (7^th Edition):

Perry, Daniel James. “Solving geometric constraint problems through Monte Carlo optimization.” 2008. Web. 13 Dec 2019.

Vancouver:

Perry DJ. Solving geometric constraint problems through Monte Carlo optimization. [Internet] [Masters thesis]. University of Utah; 2008. [cited 2019 Dec 13]. Available from: http://content.lib.utah.edu/cdm/singleitem/collection/etd2/id/248/rec/1045.

Council of Science Editors:

Perry DJ. Solving geometric constraint problems through Monte Carlo optimization. [Masters Thesis]. University of Utah; 2008. Available from: http://content.lib.utah.edu/cdm/singleitem/collection/etd2/id/248/rec/1045

University of Alberta

13. Chen, Weifeng. Motion Planning with Monte Carlo Random Walks.

Degree: MS, Department of Computing Science, 2015, University of Alberta

URL: https://era.library.ualberta.ca/files/cws859f722

► This thesis applies the Monte Carlo Random Walk method (MRW) to motion planning. We explore different global and local restart strategies to improve the performance.… (more)

Subjects/Keywords: Motion Planning; Random Walk; Monte Carlo method

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APA (6^th Edition):

Chen, W. (2015). Motion Planning with Monte Carlo Random Walks. (Masters Thesis). University of Alberta. Retrieved from https://era.library.ualberta.ca/files/cws859f722

Chicago Manual of Style (16^th Edition):

Chen, Weifeng. “Motion Planning with Monte Carlo Random Walks.” 2015. Masters Thesis, University of Alberta. Accessed December 13, 2019. https://era.library.ualberta.ca/files/cws859f722.

MLA Handbook (7^th Edition):

Chen, Weifeng. “Motion Planning with Monte Carlo Random Walks.” 2015. Web. 13 Dec 2019.

Vancouver:

Chen W. Motion Planning with Monte Carlo Random Walks. [Internet] [Masters thesis]. University of Alberta; 2015. [cited 2019 Dec 13]. Available from: https://era.library.ualberta.ca/files/cws859f722.

Council of Science Editors:

Chen W. Motion Planning with Monte Carlo Random Walks. [Masters Thesis]. University of Alberta; 2015. Available from: https://era.library.ualberta.ca/files/cws859f722

Brunel University

14. Wei, Peng. Web and knowledge-based decision support system for measurement uncertainty evaluation.

Degree: 2009, Brunel University

URL: http://bura.brunel.ac.uk/handle/2438/10114 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.508814

► In metrology, measurement uncertainty is understood as a range in which the true value of the measurement is likely to fall in. The recent years… (more)

▼ In metrology, measurement uncertainty is understood as a range in which the true value of the measurement is likely to fall in. The recent years have seen a rapid development in evaluation of measurement uncertainty. ISO Guide to the Expression of Uncertainty in Measurement (GUM 1995) is the primary guiding document for measurement uncertainty. More recently, the Supplement 1 to the "Guide to the expression of uncertainty in measurement" – Propagation of distributions using a Monte Carlo method (GUM SP1) was published in November 2008. A number of software tools for measurement uncertainty have been developed and made available based on these two documents. The current software tools are mainly desktop applications utilising numeric computation with limited mathematical model handling capacity. A novel and generic web-based application, web-based Knowledge-Based Decision Support System (KB-DSS), has been proposed and developed in this research for measurement uncertainty evaluation. A Model-View-Controller architecture pattern is used for the proposed system. Under this general architecture, a web-based KB-DSS is developed based on an integration of the Expert System and Decision Support System approach. In the proposed uncertainty evaluation system, three knowledge bases as sub-systems are developed to implement the evaluation for measurement uncertainty. The first sub-system, the Measurement Modelling Knowledge Base (MMKB), assists the user in establishing the appropriate mathematical model for the measurand, a critical process for uncertainty evaluation. The second sub-system, GUM Framework Knowledge Base, carries out the uncertainty evaluation process based on the GUM Uncertainty Framework using symbolic computation, whilst the third sub-system, GUM SP1 MCM Framework Knowledge Base, conducts the uncertainty calculation according to the GUM SP1 Framework numerically based on Monte Carlo Method. The design and implementation of the proposed system and sub-systems are discussed in the thesis, supported by elaboration of the implementation steps and examples. Discussions and justifications on the technologies and approaches used for the sub-systems and their components are also presented. These include Drools, Oracle database, Java, JSP, Java Transfer Object, AJAX and Matlab. The proposed web-based KB-DSS has been evaluated through case studies and the performance of the system has been validated by the example results. As an established methodology and practical tool, the research will make valuable contributions to the field of measurement uncertainty evaluation.

Subjects/Keywords: 502.85; Monte Carlo method : Gum : Expert system

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APA (6^th Edition):

Wei, P. (2009). Web and knowledge-based decision support system for measurement uncertainty evaluation. (Doctoral Dissertation). Brunel University. Retrieved from http://bura.brunel.ac.uk/handle/2438/10114 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.508814

Chicago Manual of Style (16^th Edition):

Wei, Peng. “Web and knowledge-based decision support system for measurement uncertainty evaluation.” 2009. Doctoral Dissertation, Brunel University. Accessed December 13, 2019. http://bura.brunel.ac.uk/handle/2438/10114 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.508814.

MLA Handbook (7^th Edition):

Wei, Peng. “Web and knowledge-based decision support system for measurement uncertainty evaluation.” 2009. Web. 13 Dec 2019.

Vancouver:

Wei P. Web and knowledge-based decision support system for measurement uncertainty evaluation. [Internet] [Doctoral dissertation]. Brunel University; 2009. [cited 2019 Dec 13]. Available from: http://bura.brunel.ac.uk/handle/2438/10114 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.508814.

Council of Science Editors:

Wei P. Web and knowledge-based decision support system for measurement uncertainty evaluation. [Doctoral Dissertation]. Brunel University; 2009. Available from: http://bura.brunel.ac.uk/handle/2438/10114 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.508814

Oregon State University

15. Ek, Alan R. A comparison of some estimators in forest sampling.

Degree: PhD, Forest Management, 1969, Oregon State University

URL: http://hdl.handle.net/1957/11041

► The objectives of this study were to ascertain the relative precision and accuracy of certain estimators on several forest populations and to determine if relative… (more)

▼ The objectives of this study were to ascertain the relative precision and accuracy of certain estimators on several forest populations and to determine if relative performance could be predicted from knowledge of population characteristics. Performance was tested on three populations of trees drawn from stands in northern Ontario. The first population consisted of 479 spruce and fir trees drawn from an uneven aged second growth spruce-fir stand. The second consisted of 309 maple and birch trees from a mature hardwood stand. The third population was composed of 500 red pine drawn from a forty year old plantation. Measurement data obtained for each tree included breast height diameter and total height. For the spruce-fir and hardwood stands, measurements o height and crown area were also obtained from large scale aerial photography. Estimators for total volume, height and crown area were compared for the test populations. Independent or supplementary variables employed were diameter, height and crown area plus several transformations and combinations of these variables. Four sample sizes, n = 4, 12, 24, and 40 were employed for each of 25 dependent-independent variable combinations considered. Simple expansion, ratio, unbiased ratio, regression and unequal probability estimators and stratified sampling with the simple expansion estimator were compared using Monte Carlo techniques. Relative performance was evaluated using estimates of sampling variances, biases and mean square errors obtained from repeated sampling of the test populations. Results indicated linear and parabolic regression and the Horvitz- Thompson pps estimator were usually among the best three estimators for the two largest sample sizes studied. For the smaller sample sizes, linear egression, the Horvitz- Thompson pps and ratio of means estimators were best. For the estimation of volume using diameter- squared as the supplementary variable, linear regression was the best approach. Parabolic regression using diameter and diameter- squared was equal precise for the larger sample sizes. Major factors affecting the relative performance of estimators were: 1) the form of the dependent-independent variable relationship (linear or curvilinear), 2) the correlation between these variables, 3) the position of the intercept of the population regression line, 4) the variance of the dependent variable given the independent variable and 5) sample size. Advisors/Committee Members: Dilworth, J. R. (advisor).

Subjects/Keywords: Monte Carlo method

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APA (6^th Edition):

Ek, A. R. (1969). A comparison of some estimators in forest sampling. (Doctoral Dissertation). Oregon State University. Retrieved from http://hdl.handle.net/1957/11041

Chicago Manual of Style (16^th Edition):

Ek, Alan R. “A comparison of some estimators in forest sampling.” 1969. Doctoral Dissertation, Oregon State University. Accessed December 13, 2019. http://hdl.handle.net/1957/11041.

MLA Handbook (7^th Edition):

Ek, Alan R. “A comparison of some estimators in forest sampling.” 1969. Web. 13 Dec 2019.

Vancouver:

Ek AR. A comparison of some estimators in forest sampling. [Internet] [Doctoral dissertation]. Oregon State University; 1969. [cited 2019 Dec 13]. Available from: http://hdl.handle.net/1957/11041.

Council of Science Editors:

Ek AR. A comparison of some estimators in forest sampling. [Doctoral Dissertation]. Oregon State University; 1969. Available from: http://hdl.handle.net/1957/11041

University of Aberdeen

16. Stephen, Alexander. Enhancement of thermionic cooling using Monte Carlo simulation.

Degree: PhD, 2014, University of Aberdeen

URL: http://digitool.abdn.ac.uk:80/webclient/DeliveryManager?pid=210113 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.606453

► Advances in the field of semiconductor physics have allowed for rapid development of new, more powerful devices. The new fabrication techniques allow for reductions in… (more)

Subjects/Keywords: 620; Thermoelectric cooling; Monte Carlo method

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APA (6^th Edition):

Stephen, A. (2014). Enhancement of thermionic cooling using Monte Carlo simulation. (Doctoral Dissertation). University of Aberdeen. Retrieved from http://digitool.abdn.ac.uk:80/webclient/DeliveryManager?pid=210113 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.606453

Chicago Manual of Style (16^th Edition):

Stephen, Alexander. “Enhancement of thermionic cooling using Monte Carlo simulation.” 2014. Doctoral Dissertation, University of Aberdeen. Accessed December 13, 2019. http://digitool.abdn.ac.uk:80/webclient/DeliveryManager?pid=210113 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.606453.

MLA Handbook (7^th Edition):

Stephen, Alexander. “Enhancement of thermionic cooling using Monte Carlo simulation.” 2014. Web. 13 Dec 2019.

Vancouver:

Stephen A. Enhancement of thermionic cooling using Monte Carlo simulation. [Internet] [Doctoral dissertation]. University of Aberdeen; 2014. [cited 2019 Dec 13]. Available from: http://digitool.abdn.ac.uk:80/webclient/DeliveryManager?pid=210113 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.606453.

Council of Science Editors:

Stephen A. Enhancement of thermionic cooling using Monte Carlo simulation. [Doctoral Dissertation]. University of Aberdeen; 2014. Available from: http://digitool.abdn.ac.uk:80/webclient/DeliveryManager?pid=210113 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.606453

Oregon State University

17. Thompson, Steven Kirk. Adaptive sampling of spatial point processes.

Degree: PhD, Statistics, 1982, Oregon State University

URL: http://hdl.handle.net/1957/41721

► Adaptive sampling designs are those in which observations made during a survey may be taken into account when selecting the sites for further observations. Increases… (more)

▼ Adaptive sampling designs are those in which observations made during a survey may be taken into account when selecting the sites for further observations. Increases in survey precision may be achieved through adaptive procedures. The most efficient designs incorporate flexible sample size along with sequential selection of sites. In surveys of animal or plant populations, adaptive sampling techniques may take advantage of spatial tendencies associated with flocking, schooling, or patchiness. The framework of "sampling processes" is introduced to deal conveniently with sampling theory and methods for spatial point processes. A sampling process is a stochastic process that depends on the detectability functions associated with the survey methods as well as on the structure of the spatial point process under study. A realization of a sampling process consists of the number of points of the point process that an observer actually detects from different locations in the space. Sampling theory and methods for spatial point processes thus become largely a matter of studying the structure of sampling processes. Many survey techniques for the assessmemt of plant and animal abundance may be analyzed within this framework. Practical adaptive sampling strategies pursued in this thesis include both design-unbiased and modelunbiased adaptive sampling strategies The design-unbiased strategy has the advantage that, even if assumptions about the population being surveyed are incorrect, the estimate is still unbiased and we still have an unbiased estimate of mean square error. The modelunbiased strategy relies for its unbiasedness on certain assumptions made about the population model. The key assumptions required may in fact be realistic in many spatial survey situations with properly located sampling sites. The two classes of adaptive strategies are applied in modified form to bird survey and shrimp survey methods. The design-unbiased adaptive strategies used on Alaska shrimp surveys are estimated to give increases in precision of 24% and 30% over the comparable nonadaptive procedures of the same expected sampling effort. Higher gains of 37% and 98% are computed to be theoretically attainable by refining the adaptive procedures. Advisors/Committee Members: Ramsey, Fred L. (advisor), Pierce, Don (committee member).

Subjects/Keywords: Monte Carlo method

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APA (6^th Edition):

Thompson, S. K. (1982). Adaptive sampling of spatial point processes. (Doctoral Dissertation). Oregon State University. Retrieved from http://hdl.handle.net/1957/41721

Chicago Manual of Style (16^th Edition):

Thompson, Steven Kirk. “Adaptive sampling of spatial point processes.” 1982. Doctoral Dissertation, Oregon State University. Accessed December 13, 2019. http://hdl.handle.net/1957/41721.

MLA Handbook (7^th Edition):

Thompson, Steven Kirk. “Adaptive sampling of spatial point processes.” 1982. Web. 13 Dec 2019.

Vancouver:

Thompson SK. Adaptive sampling of spatial point processes. [Internet] [Doctoral dissertation]. Oregon State University; 1982. [cited 2019 Dec 13]. Available from: http://hdl.handle.net/1957/41721.

Council of Science Editors:

Thompson SK. Adaptive sampling of spatial point processes. [Doctoral Dissertation]. Oregon State University; 1982. Available from: http://hdl.handle.net/1957/41721

Oregon State University

18. Wang, Haiou. Logic sampling, likelihood weighting and AIS-BN : an exploration of importance sampling.

Degree: MS, Computer Science, 2001, Oregon State University

URL: http://hdl.handle.net/1957/28769

► Logic Sampling, Likelihood Weighting and AIS-BN are three variants of stochastic sampling, one class of approximate inference for Bayesian networks. We summarize the ideas underlying… (more)

Subjects/Keywords: Monte Carlo method

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APA (6^th Edition):

Wang, H. (2001). Logic sampling, likelihood weighting and AIS-BN : an exploration of importance sampling. (Masters Thesis). Oregon State University. Retrieved from http://hdl.handle.net/1957/28769

Chicago Manual of Style (16^th Edition):

Wang, Haiou. “Logic sampling, likelihood weighting and AIS-BN : an exploration of importance sampling.” 2001. Masters Thesis, Oregon State University. Accessed December 13, 2019. http://hdl.handle.net/1957/28769.

MLA Handbook (7^th Edition):

Wang, Haiou. “Logic sampling, likelihood weighting and AIS-BN : an exploration of importance sampling.” 2001. Web. 13 Dec 2019.

Vancouver:

Wang H. Logic sampling, likelihood weighting and AIS-BN : an exploration of importance sampling. [Internet] [Masters thesis]. Oregon State University; 2001. [cited 2019 Dec 13]. Available from: http://hdl.handle.net/1957/28769.

Council of Science Editors:

Wang H. Logic sampling, likelihood weighting and AIS-BN : an exploration of importance sampling. [Masters Thesis]. Oregon State University; 2001. Available from: http://hdl.handle.net/1957/28769

Oregon State University

19. Miles, Todd L. Monte Carlo uncertainty reliability and isotope production calculations for a fast reactor.

Degree: MS, Nuclear Engineering, 1991, Oregon State University

URL: http://hdl.handle.net/1957/36711

► With the advent of more powerful, less expensive computing resources, more and more attention is being given to Monte Carlo techniques in design application. In… (more)

Subjects/Keywords: Monte Carlo method

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APA (6^th Edition):

Miles, T. L. (1991). Monte Carlo uncertainty reliability and isotope production calculations for a fast reactor. (Masters Thesis). Oregon State University. Retrieved from http://hdl.handle.net/1957/36711

Chicago Manual of Style (16^th Edition):

Miles, Todd L. “Monte Carlo uncertainty reliability and isotope production calculations for a fast reactor.” 1991. Masters Thesis, Oregon State University. Accessed December 13, 2019. http://hdl.handle.net/1957/36711.

MLA Handbook (7^th Edition):

Miles, Todd L. “Monte Carlo uncertainty reliability and isotope production calculations for a fast reactor.” 1991. Web. 13 Dec 2019.

Vancouver:

Miles TL. Monte Carlo uncertainty reliability and isotope production calculations for a fast reactor. [Internet] [Masters thesis]. Oregon State University; 1991. [cited 2019 Dec 13]. Available from: http://hdl.handle.net/1957/36711.

Council of Science Editors:

Miles TL. Monte Carlo uncertainty reliability and isotope production calculations for a fast reactor. [Masters Thesis]. Oregon State University; 1991. Available from: http://hdl.handle.net/1957/36711

Laurentian University

20. Almowanes, Abdullah. Generating random shapes for Monte Carlo accuracy testing of pairwise comparisons .

Degree: 2013, Laurentian University

URL: https://zone.biblio.laurentian.ca/dspace/handle/10219/2097

► This thesis shows highly encouraging results as the gain of accuracy reached 18.4% when the pairwise comparisons method was used instead of the direct method… (more)

Subjects/Keywords: placated shapes; Monte Carlo method; pairwise comparisons

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APA (6^th Edition):

Almowanes, A. (2013). Generating random shapes for Monte Carlo accuracy testing of pairwise comparisons . (Thesis). Laurentian University. Retrieved from https://zone.biblio.laurentian.ca/dspace/handle/10219/2097

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Almowanes, Abdullah. “Generating random shapes for Monte Carlo accuracy testing of pairwise comparisons .” 2013. Thesis, Laurentian University. Accessed December 13, 2019. https://zone.biblio.laurentian.ca/dspace/handle/10219/2097.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Almowanes, Abdullah. “Generating random shapes for Monte Carlo accuracy testing of pairwise comparisons .” 2013. Web. 13 Dec 2019.

Vancouver:

Almowanes A. Generating random shapes for Monte Carlo accuracy testing of pairwise comparisons . [Internet] [Thesis]. Laurentian University; 2013. [cited 2019 Dec 13]. Available from: https://zone.biblio.laurentian.ca/dspace/handle/10219/2097.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Almowanes A. Generating random shapes for Monte Carlo accuracy testing of pairwise comparisons . [Thesis]. Laurentian University; 2013. Available from: https://zone.biblio.laurentian.ca/dspace/handle/10219/2097

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Baylor University

21. Joseph, Samuel J. Monte Carlo simulations using infrared improved DGLAP-CS theory.

Degree: Physics., 2009, Baylor University

URL: http://hdl.handle.net/2104/5382

► A large number of Z and W bosons will be produced at the LHC. A careful study of their properties in the presence of QCD… (more)

Subjects/Keywords: Monte Carlo method.; Hadron interactions.; Infrared spectra.

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APA (6^th Edition):

Joseph, S. J. (2009). Monte Carlo simulations using infrared improved DGLAP-CS theory. (Thesis). Baylor University. Retrieved from http://hdl.handle.net/2104/5382

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Joseph, Samuel J. “Monte Carlo simulations using infrared improved DGLAP-CS theory. ” 2009. Thesis, Baylor University. Accessed December 13, 2019. http://hdl.handle.net/2104/5382.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Joseph, Samuel J. “Monte Carlo simulations using infrared improved DGLAP-CS theory. ” 2009. Web. 13 Dec 2019.

Vancouver:

Joseph SJ. Monte Carlo simulations using infrared improved DGLAP-CS theory. [Internet] [Thesis]. Baylor University; 2009. [cited 2019 Dec 13]. Available from: http://hdl.handle.net/2104/5382.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Joseph SJ. Monte Carlo simulations using infrared improved DGLAP-CS theory. [Thesis]. Baylor University; 2009. Available from: http://hdl.handle.net/2104/5382

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Cornell University

22. Petruzielo, Frank. Quantum Monte Carlo Developments For Discrete And Continuous Spaces .

Degree: 2012, Cornell University

URL: http://hdl.handle.net/1813/31420

► This thesis details four research projects related to zero temperature quantum Monte Carlo. Chapters 2-4 focus on continuum quantum Monte Carlo, and specifically its application… (more)

▼ This thesis details four research projects related to zero temperature quantum Monte Carlo. Chapters 2-4 focus on continuum quantum Monte Carlo, and specifically its application to molecular systems; whereas Chapter 5 focuses on quantum Monte Carlo in a discrete space. Chapter 2 focuses on improving upon the single-particle basis functions employed in quantum Monte Carlo calculations for molecular systems. For calculations requiring non-diverging pseudopotentials, a class of functions is introduced that is capable of producing the short- and long-range asymptotic behavior of the exact wavefunction. It is demonstrated that this form of basis function produces superior accuracy and efficiency when compared to the basis sets typically employed in quantum Monte Carlo. Although the basis functions introduced in Chapter 2 are capable of producing superior results, it is necessary that the parameters of the functional form are near-optimal for the full potential of the functions to be realized. Chapter 3 introduces a simple yet general method for constructing basis sets of a desired functional form appropriate for molecular electronic structure calculations. A standard basis set is created for each of the elements from hydrogen to argon. Chapter 4 explores the effect of different aspects of the trial wavefunction on the accuracy of quantum Monte Carlo. By systematically testing the effect of the basis size, orbital quality, and determinant expansion quality, this work offers guidance to quantum Monte Carlo practitioners for achieving results to within chemical accuracy of experiment. In Chapter 5, semistochastic projection, a hybrid of deterministic and stochastic projection, is introduced for finding the dominant eigenvalue and eigenvector of a matrix. This method, like stochastic projection, is applicable to matrices well beyond the size that can be handled by deterministic methods. Semistochastic projection improves over stochastic projection by significantly reducing the computational time required to obtain the eigenvalue within a specified statistical uncertainty. After the semistochastic projection method is introduced, it is applied to determine the ground state energy of the Hamiltonian in a discrete basis. This special case of semistochastic projection, dubbed semistochastic quantum Monte Carlo, is shown to be orders of magnitude more efficient than stochastic quantum Monte Carlo. Advisors/Committee Members: Arias, Tomas A. (committeeMember), McEuen, Paul L. (committeeMember), Chan, Garnet (committeeMember).

Subjects/Keywords: Quantum Monte Carlo; qmc; Power Method

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Petruzielo, F. (2012). Quantum Monte Carlo Developments For Discrete And Continuous Spaces . (Thesis). Cornell University. Retrieved from http://hdl.handle.net/1813/31420

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Petruzielo, Frank. “Quantum Monte Carlo Developments For Discrete And Continuous Spaces .” 2012. Thesis, Cornell University. Accessed December 13, 2019. http://hdl.handle.net/1813/31420.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Petruzielo, Frank. “Quantum Monte Carlo Developments For Discrete And Continuous Spaces .” 2012. Web. 13 Dec 2019.

Vancouver:

Petruzielo F. Quantum Monte Carlo Developments For Discrete And Continuous Spaces . [Internet] [Thesis]. Cornell University; 2012. [cited 2019 Dec 13]. Available from: http://hdl.handle.net/1813/31420.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Petruzielo F. Quantum Monte Carlo Developments For Discrete And Continuous Spaces . [Thesis]. Cornell University; 2012. Available from: http://hdl.handle.net/1813/31420

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Montana State University

23. Lerch, Michael David. Statistics in the presence of cost : cost-considerate variable selection and MCMC convergence diagnostics.

Degree: College of Letters & Science, 2016, Montana State University

URL: https://scholarworks.montana.edu/xmlui/handle/1/12371

► The overarching objective of this research is to address and recognize the cost-benefit trade-off inherent in much of statistics. We identify two places where such… (more)

▼ The overarching objective of this research is to address and recognize the cost-benefit trade-off inherent in much of statistics. We identify two places where such a balance is present for researchers: variable selection and Markov chain Monte Carlo (MCMC) sampling. An easily identifiable source of cost in science occurs when taking measurements. Researchers measure variables to estimate another quantity based on a model. When model building, researchers may have access to a large number of variables to include in the model and may consider using a subset of the variables so that future uses of the model need only measure this subset rather than all variables. The researchers are incentivized to proceed in this manner if some variables are prohibitively expensive to measure for future uses of the model. In this research, we present a new algorithm for cost-considerate variable selection in linear modeling when confronted with this problem. Since overfitting may be a danger when many variables at the disposal of the researcher, we build on the LARS and Lasso algorithms to perform cost-based variable selection in concert with model regularization. In MCMC sampling for Bayesian statistics, the cost-benefit trade-off is unavoidable. Researchers sampling from a posterior distribution must run a sampler for some number of iterations before finally stopping the sampler to make inference on the finite number of samples drawn. In this situation, the cost to be reduced is time to run the sampler while realizing the longer the sampler is run, the better the convergence. Time may not be as tangible a cost as a dollar figure, but increased wait time to perform analyses incurs the cost of running a computer and any negative effects associated with a delay as the researcher waits until the sampler has finished running. In this research, we introduce new convergence assessment tools in a diagnostic and plot. Unlike commonly used convergence diagnostics, these new tools focus explicitly on posterior quantiles and probabilities which are common inferential objectives in Bayesian statistics. Additionally, we introduce equivalence testing to the convergence assessment domain by using it as the framework of the diagnostic. Advisors/Committee Members: Chairperson, Graduate Committee: Steve Cherry (advisor).

Subjects/Keywords: Statistics.; Cost.; Monte Carlo method.; Mathematical models.

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Lerch, M. D. (2016). Statistics in the presence of cost : cost-considerate variable selection and MCMC convergence diagnostics. (Thesis). Montana State University. Retrieved from https://scholarworks.montana.edu/xmlui/handle/1/12371

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Lerch, Michael David. “Statistics in the presence of cost : cost-considerate variable selection and MCMC convergence diagnostics.” 2016. Thesis, Montana State University. Accessed December 13, 2019. https://scholarworks.montana.edu/xmlui/handle/1/12371.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Lerch, Michael David. “Statistics in the presence of cost : cost-considerate variable selection and MCMC convergence diagnostics.” 2016. Web. 13 Dec 2019.

Vancouver:

Lerch MD. Statistics in the presence of cost : cost-considerate variable selection and MCMC convergence diagnostics. [Internet] [Thesis]. Montana State University; 2016. [cited 2019 Dec 13]. Available from: https://scholarworks.montana.edu/xmlui/handle/1/12371.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Lerch MD. Statistics in the presence of cost : cost-considerate variable selection and MCMC convergence diagnostics. [Thesis]. Montana State University; 2016. Available from: https://scholarworks.montana.edu/xmlui/handle/1/12371

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Oregon State University

24. Eccleston, Bradley R. An inherently parallel Monte Carlo linear systems solver applied to neutron diffusion equations.

Degree: MS, Nuclear Engineering, 2000, Oregon State University

URL: http://hdl.handle.net/1957/33068

► Linear solvers are often used to solve neutron diffusion problems. These tools have two significant shortcomings. First, parallel implementations provide only a modest speedup. The… (more)

Subjects/Keywords: Monte Carlo method

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APA (6^th Edition):

Eccleston, B. R. (2000). An inherently parallel Monte Carlo linear systems solver applied to neutron diffusion equations. (Masters Thesis). Oregon State University. Retrieved from http://hdl.handle.net/1957/33068

Chicago Manual of Style (16^th Edition):

Eccleston, Bradley R. “An inherently parallel Monte Carlo linear systems solver applied to neutron diffusion equations.” 2000. Masters Thesis, Oregon State University. Accessed December 13, 2019. http://hdl.handle.net/1957/33068.

MLA Handbook (7^th Edition):

Eccleston, Bradley R. “An inherently parallel Monte Carlo linear systems solver applied to neutron diffusion equations.” 2000. Web. 13 Dec 2019.

Vancouver:

Eccleston BR. An inherently parallel Monte Carlo linear systems solver applied to neutron diffusion equations. [Internet] [Masters thesis]. Oregon State University; 2000. [cited 2019 Dec 13]. Available from: http://hdl.handle.net/1957/33068.

Council of Science Editors:

Eccleston BR. An inherently parallel Monte Carlo linear systems solver applied to neutron diffusion equations. [Masters Thesis]. Oregon State University; 2000. Available from: http://hdl.handle.net/1957/33068

Oregon State University

25. Pennathur, Shankar S. Monte Carlo device modeling applications on parallel computers.

Degree: PhD, Electrical and Computer Engineering, 1995, Oregon State University

URL: http://hdl.handle.net/1957/34627

► One of the ways of countering the ever increasing computational requirements in the simulation and modeling of electrical and electromagnetic devices and phenomena, is the… (more)

Subjects/Keywords: Monte Carlo method

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APA (6^th Edition):

Pennathur, S. S. (1995). Monte Carlo device modeling applications on parallel computers. (Doctoral Dissertation). Oregon State University. Retrieved from http://hdl.handle.net/1957/34627

Chicago Manual of Style (16^th Edition):

Pennathur, Shankar S. “Monte Carlo device modeling applications on parallel computers.” 1995. Doctoral Dissertation, Oregon State University. Accessed December 13, 2019. http://hdl.handle.net/1957/34627.

MLA Handbook (7^th Edition):

Pennathur, Shankar S. “Monte Carlo device modeling applications on parallel computers.” 1995. Web. 13 Dec 2019.

Vancouver:

Pennathur SS. Monte Carlo device modeling applications on parallel computers. [Internet] [Doctoral dissertation]. Oregon State University; 1995. [cited 2019 Dec 13]. Available from: http://hdl.handle.net/1957/34627.

Council of Science Editors:

Pennathur SS. Monte Carlo device modeling applications on parallel computers. [Doctoral Dissertation]. Oregon State University; 1995. Available from: http://hdl.handle.net/1957/34627

Oregon State University

26. Huster, Carl R. A parallel/vector Monte Carlo MESFET model for shared memory machines.

Degree: MS, Electrical and Computer Engineering, 1992, Oregon State University

URL: http://hdl.handle.net/1957/37306

► The parallelization and vectorization of Monte Carlo algorithms for modelling charge transport in semiconductor devices are considered. The standard ensemble Monte Carlo simulation of a… (more)

Subjects/Keywords: Monte Carlo method

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Huster, C. R. (1992). A parallel/vector Monte Carlo MESFET model for shared memory machines. (Masters Thesis). Oregon State University. Retrieved from http://hdl.handle.net/1957/37306

Chicago Manual of Style (16^th Edition):

Huster, Carl R. “A parallel/vector Monte Carlo MESFET model for shared memory machines.” 1992. Masters Thesis, Oregon State University. Accessed December 13, 2019. http://hdl.handle.net/1957/37306.

MLA Handbook (7^th Edition):

Huster, Carl R. “A parallel/vector Monte Carlo MESFET model for shared memory machines.” 1992. Web. 13 Dec 2019.

Vancouver:

Huster CR. A parallel/vector Monte Carlo MESFET model for shared memory machines. [Internet] [Masters thesis]. Oregon State University; 1992. [cited 2019 Dec 13]. Available from: http://hdl.handle.net/1957/37306.

Council of Science Editors:

Huster CR. A parallel/vector Monte Carlo MESFET model for shared memory machines. [Masters Thesis]. Oregon State University; 1992. Available from: http://hdl.handle.net/1957/37306

Oregon State University

27. Shepard, Lonnie B. Monte Carlo evaluation of empirical approximation of mixing distributions.

Degree: PhD, Statistics, 1973, Oregon State University

URL: http://hdl.handle.net/1957/44572

Subjects/Keywords: Monte Carlo method

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Shepard, L. B. (1973). Monte Carlo evaluation of empirical approximation of mixing distributions. (Doctoral Dissertation). Oregon State University. Retrieved from http://hdl.handle.net/1957/44572

Chicago Manual of Style (16^th Edition):

Shepard, Lonnie B. “Monte Carlo evaluation of empirical approximation of mixing distributions.” 1973. Doctoral Dissertation, Oregon State University. Accessed December 13, 2019. http://hdl.handle.net/1957/44572.

MLA Handbook (7^th Edition):

Shepard, Lonnie B. “Monte Carlo evaluation of empirical approximation of mixing distributions.” 1973. Web. 13 Dec 2019.

Vancouver:

Shepard LB. Monte Carlo evaluation of empirical approximation of mixing distributions. [Internet] [Doctoral dissertation]. Oregon State University; 1973. [cited 2019 Dec 13]. Available from: http://hdl.handle.net/1957/44572.

Council of Science Editors:

Shepard LB. Monte Carlo evaluation of empirical approximation of mixing distributions. [Doctoral Dissertation]. Oregon State University; 1973. Available from: http://hdl.handle.net/1957/44572

University of Oxford

28. Bester, Dirk W. Joint survival models : a Bayesian investigation of longitudinal volatility.

Degree: PhD, 2014, University of Oxford

URL: http://ora.ox.ac.uk/objects/uuid:35db576b-10a7-4e49-a04d-dee99544227d ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.711721

► In this thesis, we investigate joint models of longitudinal and time-to-event data. We extend the current literature by developing a model that assigns subject-specific variance… (more)

Subjects/Keywords: 519.2; Survival – Longitudinal studies; Monte Carlo method

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APA (6^th Edition):

Bester, D. W. (2014). Joint survival models : a Bayesian investigation of longitudinal volatility. (Doctoral Dissertation). University of Oxford. Retrieved from http://ora.ox.ac.uk/objects/uuid:35db576b-10a7-4e49-a04d-dee99544227d ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.711721

Chicago Manual of Style (16^th Edition):

Bester, Dirk W. “Joint survival models : a Bayesian investigation of longitudinal volatility.” 2014. Doctoral Dissertation, University of Oxford. Accessed December 13, 2019. http://ora.ox.ac.uk/objects/uuid:35db576b-10a7-4e49-a04d-dee99544227d ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.711721.

MLA Handbook (7^th Edition):

Bester, Dirk W. “Joint survival models : a Bayesian investigation of longitudinal volatility.” 2014. Web. 13 Dec 2019.

Vancouver:

Bester DW. Joint survival models : a Bayesian investigation of longitudinal volatility. [Internet] [Doctoral dissertation]. University of Oxford; 2014. [cited 2019 Dec 13]. Available from: http://ora.ox.ac.uk/objects/uuid:35db576b-10a7-4e49-a04d-dee99544227d ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.711721.

Council of Science Editors:

Bester DW. Joint survival models : a Bayesian investigation of longitudinal volatility. [Doctoral Dissertation]. University of Oxford; 2014. Available from: http://ora.ox.ac.uk/objects/uuid:35db576b-10a7-4e49-a04d-dee99544227d ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.711721

Uppsala University

29. Eriksson, Andreas. Efficient Modelling and Performance Analysis of Wideband Communication Receivers.

Degree: Signals and Systems Group, 2011, Uppsala University

URL: http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-148400

► This thesis deals with Symbol Error Rate (SER)-simulation of wireless communications and its application into throughput analysis of UltraWideband (UWB) systems. The SERs will… (more)

Subjects/Keywords: performance analysis; ultra wideband; monte carlo method

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APA (6^th Edition):

Eriksson, A. (2011). Efficient Modelling and Performance Analysis of Wideband Communication Receivers. (Thesis). Uppsala University. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-148400

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Eriksson, Andreas. “Efficient Modelling and Performance Analysis of Wideband Communication Receivers.” 2011. Thesis, Uppsala University. Accessed December 13, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-148400.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Eriksson, Andreas. “Efficient Modelling and Performance Analysis of Wideband Communication Receivers.” 2011. Web. 13 Dec 2019.

Vancouver:

Eriksson A. Efficient Modelling and Performance Analysis of Wideband Communication Receivers. [Internet] [Thesis]. Uppsala University; 2011. [cited 2019 Dec 13]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-148400.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Eriksson A. Efficient Modelling and Performance Analysis of Wideband Communication Receivers. [Thesis]. Uppsala University; 2011. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-148400

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

McGill University

30. Lefebvre, Geneviève, 1978-. Practical issues in modern Monte Carlo integration.

Degree: PhD, Department of Mathematics and Statistics., 2007, McGill University

URL: http://digitool.library.mcgill.ca/thesisfile103209.pdf

►

Computing marginal likelihoods to perform Bayesian model selection is a challenging task, particularly when the models considered involve a large number of parameters. In this… (more)

▼

Computing marginal likelihoods to perform Bayesian model selection is a challenging task, particularly when the models considered involve a large number of parameters. In this thesis, we propose the use of an adaptive quadrature algorithm to automate the selection of the grid in path sampling, an integration technique recognized as one of the most powerful Monte Carlo integration statistical methods for marginal likelihood estimation. We begin by examining the impact of two tuning parameters of path sampling, the choice of the importance density and the specification of the grid, which are both shown to be potentially very influential. We then present, in detail, the Grid Selection by Adaptive Quadrature (GSAQ) algorithm for selecting the grid. We perform a comparison between the GSAQ and standard grid implementation of path sampling using two well-studied data sets; the GSAQ approach is found to yield superior results. GSAQ is then successfully applied to a longitudinal hierarchical regression model selection problem in Multiple Sclerosis research.

Using an identity arising in path sampling, we then derive general expressions for the Kullback-Leibler (KL) and Jeffrey (J) divergences between two distributions with common support but from possibly different parametric families. These expressions naturally stem from path sampling when the popular geometric path is used to link the extreme densities. Expressions for the KL and J-divergences are also given for any two intermediate densities lying on the path. Estimates for the KL divergence (up to a constant) and for the J-divergence, between a posterior distribution and a selected importance density, can be obtained directly, prior to path sampling implementation. The J-divergence is shown to be helpful for choosing importance densities that minimize the error of the path sampling estimates.

Finally we present the results of a simulation study devised to investigate whether improvement in performance can be achieved by using the KL and J-divergences to select sequences of distributions in parallel (population-based) simulations, such as in the Sequential Monte Carlo Sampling and the Annealed Importance Sampling algorithms. We compare these choices of sequences to more conventional choices in the context of a mixture example. Unexpected results are obtained, and those for the KL and J-divergences are mixed. More fundamentally, we uncover the need to select the sequence of tempered distributions in accordance with the resampling scheme.

Subjects/Keywords: Monte Carlo method.

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Lefebvre, Geneviève, 1. (2007). Practical issues in modern Monte Carlo integration. (Doctoral Dissertation). McGill University. Retrieved from http://digitool.library.mcgill.ca/thesisfile103209.pdf

Chicago Manual of Style (16^th Edition):

Lefebvre, Geneviève, 1978-. “Practical issues in modern Monte Carlo integration.” 2007. Doctoral Dissertation, McGill University. Accessed December 13, 2019. http://digitool.library.mcgill.ca/thesisfile103209.pdf.

MLA Handbook (7^th Edition):

Lefebvre, Geneviève, 1978-. “Practical issues in modern Monte Carlo integration.” 2007. Web. 13 Dec 2019.

Vancouver:

Lefebvre, Geneviève 1. Practical issues in modern Monte Carlo integration. [Internet] [Doctoral dissertation]. McGill University; 2007. [cited 2019 Dec 13]. Available from: http://digitool.library.mcgill.ca/thesisfile103209.pdf.

Council of Science Editors:

Lefebvre, Geneviève 1. Practical issues in modern Monte Carlo integration. [Doctoral Dissertation]. McGill University; 2007. Available from: http://digitool.library.mcgill.ca/thesisfile103209.pdf

Open Access Theses and Dissertations