You searched for subject:(causality).
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University of Alberta
1.
Alizad Rahvar, Amir Reza.
Nonlinear Dynamic Causality Inference in Time Series.
Degree: PhD, Department of Electrical and Computer
Engineering, 2014, University of Alberta
URL: https://era.library.ualberta.ca/files/b8515p36x 
► The main focus of this work is on detection of causal relationships or couplings between different processes or systems. Identification of these causal relationships has…
(more)
▼ The main focus of this work is on detection of causal
relationships or couplings between different processes or systems.
Identification of these causal relationships has applications in
many disciplines including physics, economics, biology,
neuroscience, and climatology. As these couplings or causal
relationships are inherently hidden in the underlying dynamics of
the system and are not necessarily accessible, we develop methods
to discover these interactions by some observations of the system
measured in the form of a time series. In the first part of our
work, we propose a new method called the coupling spectrum (CS) for
inference of the directed coupling in a deterministic system. We
will observe that this method can identify the direction of
coupling in sever conditions such as bidirectional couplings,
nonlinear dynamics, nonidentical and multivariate systems, small
sample sizes, weak couplings, as well as multi-scale and noisy
data. Later, we study a biological and a financial application of
the CS method. First, we analyze the microarray data for inference
of the gene regulatory networks, one of the most important
biological networks that their identification has immediate
applications in cancer prediction. Then, the CS method is used for
detection of the temporal causality between the stock prices of two
companies. The analysis of empirical data in these applications
show the successful performance of the CS method in real-world
problems. In the last part of our contributions, we propose a new
method for inference of the distributional causality, a kind of
causality that its inference has applications in finance and
econometrics. Our method provides information about the influence
of the causality on the underlying distribution of the processes.
The analysis of the simulated and empirical financial data shows
the success of our method.
Subjects/Keywords: Gene regulatory network inference; Distributional causality; Nonlinear dynamic causality; Causality; Causality inference; Financial causality
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APA (6th Edition):
Alizad Rahvar, A. R. (2014). Nonlinear Dynamic Causality Inference in Time Series. (Doctoral Dissertation). University of Alberta. Retrieved from https://era.library.ualberta.ca/files/b8515p36x
Chicago Manual of Style (16th Edition):
Alizad Rahvar, Amir Reza. “Nonlinear Dynamic Causality Inference in Time Series.” 2014. Doctoral Dissertation, University of Alberta. Accessed February 27, 2021.
https://era.library.ualberta.ca/files/b8515p36x.
MLA Handbook (7th Edition):
Alizad Rahvar, Amir Reza. “Nonlinear Dynamic Causality Inference in Time Series.” 2014. Web. 27 Feb 2021.
Vancouver:
Alizad Rahvar AR. Nonlinear Dynamic Causality Inference in Time Series. [Internet] [Doctoral dissertation]. University of Alberta; 2014. [cited 2021 Feb 27].
Available from: https://era.library.ualberta.ca/files/b8515p36x.
Council of Science Editors:
Alizad Rahvar AR. Nonlinear Dynamic Causality Inference in Time Series. [Doctoral Dissertation]. University of Alberta; 2014. Available from: https://era.library.ualberta.ca/files/b8515p36x
Texas A&M University
2.
Wan, Qing.
Directed Information and Its Biomedical Applications.
Degree: MS, Electrical Engineering, 2016, Texas A&M University
URL: http://hdl.handle.net/1969.1/156978
► The foundation of Information theory by C. E. Shannon is the entropic measures to quantize the abstract concept of information in random variables. When the…
(more)
▼ The foundation of Information theory by C. E. Shannon is the entropic measures to quantize the abstract concept of information in random variables. When the interest is to study the relationships among multiple random processes, directed information introduced by Massey in 1990 extends such entropic measures to study the direction of information flow among the random processes, thereafter enabling the
causality inference.
Theoretically, directed information is defined on joint or conditional probability distributions of two random processes. In practice, with observed time series data, the estimation of directed information will be dependent on accurate estimates of joint probability distribution functions of random processes. We explore existing directed information estimators, generally based on Context Tree Weighting method and general asymptotic equipartition property, to infer the directed interactive relationships among involved components in neural activity mathematically modeled on Poisson process. Outcome validates
causality relationship among a set of neurons. Although challenges remain, particularly finding computational efficient way to distinguish indirect relationship from direct interaction, estimation of directed information can effectively dig out
causality among network.
Advisors/Committee Members: Qian, Xiaoning (advisor), Liu, Tie (committee member), Neto, Ulisses Braga (committee member), Larson, David R (committee member).
Subjects/Keywords: directed information; causality
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APA (6th Edition):
Wan, Q. (2016). Directed Information and Its Biomedical Applications. (Masters Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/156978
Chicago Manual of Style (16th Edition):
Wan, Qing. “Directed Information and Its Biomedical Applications.” 2016. Masters Thesis, Texas A&M University. Accessed February 27, 2021.
http://hdl.handle.net/1969.1/156978.
MLA Handbook (7th Edition):
Wan, Qing. “Directed Information and Its Biomedical Applications.” 2016. Web. 27 Feb 2021.
Vancouver:
Wan Q. Directed Information and Its Biomedical Applications. [Internet] [Masters thesis]. Texas A&M University; 2016. [cited 2021 Feb 27].
Available from: http://hdl.handle.net/1969.1/156978.
Council of Science Editors:
Wan Q. Directed Information and Its Biomedical Applications. [Masters Thesis]. Texas A&M University; 2016. Available from: http://hdl.handle.net/1969.1/156978
3.
Scidá, Daniela.
Model selection and loss functions for structural time
series: networks, spatial models, causality measures, and
misspecified or redundant moment conditions.
Degree: PhD, Economics, 2016, Brown University
URL: https://repository.library.brown.edu/studio/item/bdr:674234/
► This dissertation is comprised of the following three chapters: (1) "Causality and Markovianity: Information Theoretic Measures" (joint work with Eric Renault), my job market paper…
(more)
▼ This dissertation is comprised of the following three
chapters: (1) "
Causality and Markovianity: Information Theoretic
Measures" (joint work with Eric Renault), my job market paper
entitled (2) "Structural VAR and Financial Networks: A Minimum
Distance Approach to Spatial Modeling," and my third year paper
entitled (3) "GMM with Minimum Mean Squared Error." All three
chapters are about econometric methodology for time series, with a
particular focus on model selection and loss functions. They
include both theoretical and empirical developments about
Information Theory in Econometrics, Generalized Method of Moments,
Networks, and Spatial Modeling. The common feature of all the
econometric methodologies developed in this dissertation is the
applicability to financial econometrics.
Advisors/Committee Members: Renault, Eric (Director), McCloskey, Adam (Reader), Dungey, Mardi (Reader).
Subjects/Keywords: Kullback causality measures
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APA ·
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APA (6th Edition):
Scidá, D. (2016). Model selection and loss functions for structural time
series: networks, spatial models, causality measures, and
misspecified or redundant moment conditions. (Doctoral Dissertation). Brown University. Retrieved from https://repository.library.brown.edu/studio/item/bdr:674234/
Chicago Manual of Style (16th Edition):
Scidá, Daniela. “Model selection and loss functions for structural time
series: networks, spatial models, causality measures, and
misspecified or redundant moment conditions.” 2016. Doctoral Dissertation, Brown University. Accessed February 27, 2021.
https://repository.library.brown.edu/studio/item/bdr:674234/.
MLA Handbook (7th Edition):
Scidá, Daniela. “Model selection and loss functions for structural time
series: networks, spatial models, causality measures, and
misspecified or redundant moment conditions.” 2016. Web. 27 Feb 2021.
Vancouver:
Scidá D. Model selection and loss functions for structural time
series: networks, spatial models, causality measures, and
misspecified or redundant moment conditions. [Internet] [Doctoral dissertation]. Brown University; 2016. [cited 2021 Feb 27].
Available from: https://repository.library.brown.edu/studio/item/bdr:674234/.
Council of Science Editors:
Scidá D. Model selection and loss functions for structural time
series: networks, spatial models, causality measures, and
misspecified or redundant moment conditions. [Doctoral Dissertation]. Brown University; 2016. Available from: https://repository.library.brown.edu/studio/item/bdr:674234/
Addis Ababa University
4.
Abebe, Azene.
The Current Account – Budget Deficits Link in Sub-Saharan Africa Countries: Panel VAR Modeling Approach
.
Degree: 2008, Addis Ababa University
URL: http://etd.aau.edu.et/dspace/handle/123456789/5226
► Many economists have argued that prolonged fiscal expansions contribute to current account imbalances. The purpose of this paper is to explore this phenomenon in the…
(more)
▼ Many economists have argued that prolonged fiscal expansions contribute to current account imbalances. The purpose of this paper is to explore this phenomenon in the case of Sub-Saharan Africa countries during the period 1980 to 2007. In the framework of panel cointegration test, panel VAR Granger
Causality analysis and a reduced-form consumption function, the paper evaluates the validity of the conventional (Keynesian) view and the Ricardian Equivalence Hypothesis in Sub-Saharan Africa economies. The major findings of this study are: First, as a priori expectation, a unidirectional
causality that runs from current account deficits to budget deficits (termed as current account targeting by Summers (1988)) has been found for oil-importing Sub-Saharan Africa countries. In these countries exchange rate is found to be the main mediating variable in linking the two deficits. Second, for oil-exporting countries, while the findings from Granger
causality test is in accordance with the Ricardian Equivalence Hypothesis, the restriction test from the estimation result of the reduced-form consumption function shows rejection of the pure Equivalence Hypothesis. One line of argument for the acceptance of the Keynesian Proposition for oil-exporting countries is that a rising consumption (both private and government) fueled by rising oil revenues eventually leads to current account deterioration. A policy implication resulting from these findings is that managing the current account deficit as well as the debt burden offers a scope for improvement in the budget deficits.
Advisors/Committee Members: Zuzana Brixiova (PhD) (advisor).
Subjects/Keywords: Cointegration; Causality analysis
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APA ·
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Manager
APA (6th Edition):
Abebe, A. (2008). The Current Account – Budget Deficits Link in Sub-Saharan Africa Countries: Panel VAR Modeling Approach
. (Thesis). Addis Ababa University. Retrieved from http://etd.aau.edu.et/dspace/handle/123456789/5226
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):
Abebe, Azene. “The Current Account – Budget Deficits Link in Sub-Saharan Africa Countries: Panel VAR Modeling Approach
.” 2008. Thesis, Addis Ababa University. Accessed February 27, 2021.
http://etd.aau.edu.et/dspace/handle/123456789/5226.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Abebe, Azene. “The Current Account – Budget Deficits Link in Sub-Saharan Africa Countries: Panel VAR Modeling Approach
.” 2008. Web. 27 Feb 2021.
Vancouver:
Abebe A. The Current Account – Budget Deficits Link in Sub-Saharan Africa Countries: Panel VAR Modeling Approach
. [Internet] [Thesis]. Addis Ababa University; 2008. [cited 2021 Feb 27].
Available from: http://etd.aau.edu.et/dspace/handle/123456789/5226.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Abebe A. The Current Account – Budget Deficits Link in Sub-Saharan Africa Countries: Panel VAR Modeling Approach
. [Thesis]. Addis Ababa University; 2008. Available from: http://etd.aau.edu.et/dspace/handle/123456789/5226
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Colorado State University
5.
Samarasinghe, Savini M.
Causal inference using observational data - case studies in climate science.
Degree: PhD, Electrical and Computer Engineering, 2020, Colorado State University
URL: http://hdl.handle.net/10217/208538
► We are in an era where atmospheric science is data-rich in both observations (e.g., satellite/ sensor data) and model output. Our goal with causal discovery…
(more)
▼ We are in an era where atmospheric science is data-rich in both observations (e.g., satellite/ sensor data) and model output. Our goal with causal discovery is to apply suitable data science approaches to climate data to make inferences about the cause-effect relationships between climate variables. In this research, we focus on using observational studies, an approach that does not rely on controlled experiments, to infer cause-effect. Due to reasons such as latent variables, these observational studies do not allow us to prove causal relationships. Nevertheless, they provide data-driven hypotheses of the interactions, which can enable us to get insights into the salient interactions as well as the timescales at which they occur. Even though there are many different causal inference frameworks and methods that rely on observational studies, these approaches have not found widespread use within the climate or Earth science communities. To date, the most commonly used observational approaches include lagged correlation/regression analysis, as well as the bivariate Granger
causality approach. We can attribute this lack of popularity to two main reasons. First is the inherent difficulty of inferring cause-effect in climate. Complex processes in the climate interact with each other at varying time spans. These interactions can be nonlinear, the distributions of relevant climate variables can be non-Gaussian, and the processes can be chaotic. A researcher interested in these causal inference problems has to face many challenges varying from identifying suitable variables, data, preprocessing and inference methods, as well as setting up the inference problem in a physically meaningful way. Also, the limited exposure and accessibility to modern causal inference approaches is another reason for their limited use within the climate science community. In this dissertation, we present three case studies related to causal inference in climate science, namely, (1) causal relationships between the Arctic temperature and mid-latitude circulations, (2) relationships between the Madden Julian Oscillation (MJO) and the North Atlantic Oscillation (NAO) and (3) the causal relationships between atmospheric disturbances of different spatial scales (e.g., Planetary vs. Synoptic). We use methods based on probabilistic graphical models to infer cause-effect, specifically constraint-based structure learning methods, and graphical Granger methods. For each case study, we analyze and document the scientific thought process of setting up the problem, the challenges faced, and how we have dealt with the challenges. The challenges discussed include, but not limited to, method selection, variable representation, and data preparation. We also present a successful high-dimensional study of causal discovery in spectral space. The main objectives of this research are to make causal inference methods more accessible to a researcher/climate scientist who is at entry-level to spatiotemporal
causality and to promote more modern causal inference methods to…
Advisors/Committee Members: Ebert-Uphoff, Imme (advisor), Anderson, Chuck (committee member), Chong, Edwin (committee member), Kirby, Michael (committee member).
Subjects/Keywords: climate; graphical causal models; teleconnections; Granger causality; causality; Pearl causality
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APA ·
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Manager
APA (6th Edition):
Samarasinghe, S. M. (2020). Causal inference using observational data - case studies in climate science. (Doctoral Dissertation). Colorado State University. Retrieved from http://hdl.handle.net/10217/208538
Chicago Manual of Style (16th Edition):
Samarasinghe, Savini M. “Causal inference using observational data - case studies in climate science.” 2020. Doctoral Dissertation, Colorado State University. Accessed February 27, 2021.
http://hdl.handle.net/10217/208538.
MLA Handbook (7th Edition):
Samarasinghe, Savini M. “Causal inference using observational data - case studies in climate science.” 2020. Web. 27 Feb 2021.
Vancouver:
Samarasinghe SM. Causal inference using observational data - case studies in climate science. [Internet] [Doctoral dissertation]. Colorado State University; 2020. [cited 2021 Feb 27].
Available from: http://hdl.handle.net/10217/208538.
Council of Science Editors:
Samarasinghe SM. Causal inference using observational data - case studies in climate science. [Doctoral Dissertation]. Colorado State University; 2020. Available from: http://hdl.handle.net/10217/208538
University of Edinburgh
6.
Stewart, Gillian.
Does implicit causality influence children's sentence comprehension.
Degree: 2006, University of Edinburgh
URL: http://hdl.handle.net/1842/2342
► Studies investigating adults’ sentence comprehension have found that certain verbs convey implicit information about the causality of the sentence. The present study tested children aged…
(more)
▼ Studies investigating adults’ sentence comprehension have found that certain verbs
convey implicit information about the
causality of the sentence. The present study
tested children aged 8; 10 – 11;7 years (M = 10;3) to investigate if children also use
implicit
causality of verbs to comprehend sentences. Firstly, a sentence completion
task was carried out by each child. Half the sentences included NP1 verbs, for
example, Bart phoned Marge because…. The first clause of these sentences imply
that the cause of the event is due to the
subject noun phrase (NP1); in this case, Bart.
The other half of the sentences included NP2 verbs; sentences such as Kenny liked
Bebe because… were used. NP2 verbs assign the cause of the event to the object noun
phrase (NP2). Secondly, the children were tested on an answer task. Again, half of the
sentences included NP1 verbs, the other half included NP2 verbs. Sentences were
completed with either congruent or incongruent sentence endings. In congruent
sentences, such as Bart amused Homer because he told funny jokes, the verb in the
first clause and the sentence ending both imply the same character has caused the
event. Incongruent sentences, such as Marge punished Lisa because she was in a bad
mood, include sentence endings which imply the character who had caused the event
to be different to the character implied by the verb. The children were asked which
character, in the congruent and incongruent sentences, was referred to as the pronoun
(he/she) later in the sentence. The majority of children added a congruent sentence
ending in the completion task. In the answer task the children responded with a
greater number of correct answers when a congruent sentence ending was used.
Therefore, children, in the same way as adults, use the verb to imply information
about the
causality of a sentence. In conclusion, the implicit
causality of verbs does
influence children’s sentence comprehension.
Advisors/Committee Members: Donaldson, Morag.
Subjects/Keywords: implicit causality; sentence comprehension; causality of sentences; implicit causality of verbs; congruent sentences; incongruent sentences
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APA ·
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APA (6th Edition):
Stewart, G. (2006). Does implicit causality influence children's sentence comprehension. (Thesis). University of Edinburgh. Retrieved from http://hdl.handle.net/1842/2342
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):
Stewart, Gillian. “Does implicit causality influence children's sentence comprehension.” 2006. Thesis, University of Edinburgh. Accessed February 27, 2021.
http://hdl.handle.net/1842/2342.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Stewart, Gillian. “Does implicit causality influence children's sentence comprehension.” 2006. Web. 27 Feb 2021.
Vancouver:
Stewart G. Does implicit causality influence children's sentence comprehension. [Internet] [Thesis]. University of Edinburgh; 2006. [cited 2021 Feb 27].
Available from: http://hdl.handle.net/1842/2342.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Stewart G. Does implicit causality influence children's sentence comprehension. [Thesis]. University of Edinburgh; 2006. Available from: http://hdl.handle.net/1842/2342
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Université Catholique de Louvain
7.
Dahlqvist, Carl-Henrik.
Essays in econophysics and applied econometrics : modeling complexity in finance.
Degree: 2018, Université Catholique de Louvain
URL: http://hdl.handle.net/2078.1/213323
► The thesis investigates the question of causal relationships identification and characterization in the field of finance and econometrics. Each chapter contributes to the literature both…
(more)
▼ The thesis investigates the question of causal relationships identification and characterization in the field of finance and econometrics. Each chapter contributes to the literature both methodologically and empirically. The first chapter explores the ability of transfer entropy and Granger based causality measures to identify causal relationships between financial series. In the second chapter, the environment around agents exchanging information is taken into account to avoid the issue of indirect links. The last two chapters are devoted to the development of multi-channel causality measures. As regards the empirical part, most of the emphasis is put on the characterization of financial networks and the link between their topology and the risk associated with the system or individual financial institutions. The last chapter rather considers the information transmission between countries and the role of the commodity markets as an additional channel.
(ECGE - Sciences économiques et de gestion) – UCL, 2018
Advisors/Committee Members: UCL - SSH/IMMAQ/LFIN - Louvain Finance, UCL - Louvain School of Management, Gnabo, Jean-Yves, Béreau, Sophie, Castiaux, Annick, Saerens, Marco, Lambiotte, Renaud, Linden, Isabelle.
Subjects/Keywords: Causality; Transfer entropy; Granger causality; Multichannel causality; Finance; Systemic risk; Financial Network
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APA ·
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to Zotero / EndNote / Reference
Manager
APA (6th Edition):
Dahlqvist, C. (2018). Essays in econophysics and applied econometrics : modeling complexity in finance. (Thesis). Université Catholique de Louvain. Retrieved from http://hdl.handle.net/2078.1/213323
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):
Dahlqvist, Carl-Henrik. “Essays in econophysics and applied econometrics : modeling complexity in finance.” 2018. Thesis, Université Catholique de Louvain. Accessed February 27, 2021.
http://hdl.handle.net/2078.1/213323.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Dahlqvist, Carl-Henrik. “Essays in econophysics and applied econometrics : modeling complexity in finance.” 2018. Web. 27 Feb 2021.
Vancouver:
Dahlqvist C. Essays in econophysics and applied econometrics : modeling complexity in finance. [Internet] [Thesis]. Université Catholique de Louvain; 2018. [cited 2021 Feb 27].
Available from: http://hdl.handle.net/2078.1/213323.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Dahlqvist C. Essays in econophysics and applied econometrics : modeling complexity in finance. [Thesis]. Université Catholique de Louvain; 2018. Available from: http://hdl.handle.net/2078.1/213323
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
NSYSU
8.
Huang, Sian-Hong.
A study on network modeling with grouping structure among its nodes.
Degree: Master, Applied Mathematics, 2017, NSYSU
URL: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0619117-200807
► The group effect between variables arises frequently in the real data analysis (e.g., biological, financial econometric). In this study, we aim to build network structure…
(more)
▼ The group effect between variables arises frequently in the real data analysis (e.g., biological, financial econometric). In this study, we aim to build network structure from temporal panel data under the framework of Granger causal models with inherent grouping structure among its nodes. We use a group lasso regression regularization framework and use tuning parameters to avoid group misspecifications. We investigate the tuning parameter effect on estimation of the network structure via simulation study. Finally, we apply the method to study the network structure of financial institutes.
Advisors/Committee Members: Huang Shih-Feng (chair), Chang Chung (chair), Guo Mei-Hui (committee member), Lo Huang Mong-Na (chair), Lin Liang-Ching (chair).
Subjects/Keywords: group lasso; Granger causality; network
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APA ·
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to Zotero / EndNote / Reference
Manager
APA (6th Edition):
Huang, S. (2017). A study on network modeling with grouping structure among its nodes. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0619117-200807
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):
Huang, Sian-Hong. “A study on network modeling with grouping structure among its nodes.” 2017. Thesis, NSYSU. Accessed February 27, 2021.
http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0619117-200807.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Huang, Sian-Hong. “A study on network modeling with grouping structure among its nodes.” 2017. Web. 27 Feb 2021.
Vancouver:
Huang S. A study on network modeling with grouping structure among its nodes. [Internet] [Thesis]. NSYSU; 2017. [cited 2021 Feb 27].
Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0619117-200807.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Huang S. A study on network modeling with grouping structure among its nodes. [Thesis]. NSYSU; 2017. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0619117-200807
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
UCLA
9.
Fire, Amy Sue.
Learning and Inferring Perceptual Causality from Video.
Degree: Statistics, 2016, UCLA
URL: http://www.escholarship.org/uc/item/45m9s7hx
► In the physical world, cause and effect are inseparable: ambient conditions trigger humans to perform actions, thereby driving status changes of objects in the scene.…
(more)
▼ In the physical world, cause and effect are inseparable: ambient conditions trigger humans to perform actions, thereby driving status changes of objects in the scene. Perceptual causality is the perception of causal relationships from observation. Humans, even as infants, form such models from observation of the world around them [Saxe and Carey, 2006]. For a deeper understanding, the computer must make similar models through the analogous form of observation: video. In this dissertation, we provide a framework for the unsupervised learning of this perceptual causal structure from video. Our method takes action and object status detections as input and uses heuristics suggested by cognitive science research to produce the causal links perceived between them. We greedily modify an initial distribution featuring independence between potential causes and effects by adding dependencies that maximize information gain. We compile the learned causal relationships into a Causal And-Or Graph, a probabilistic and-or representation of causality that adds a prior to causality. Validated against human perception, experiments show that our method correctly learns causal relations, attributing status changes of objects to causing actions amid irrelevant actions. Our method outperforms Hellinger's chi-square statistic by considering hierarchical action selection, and outperforms the treatment effect by discounting coincidental relationships. In video, triggering conditions, causing actions, and effects may be hidden due to ambiguity, occlusion, or because they are otherwise unobservable, but humans still perceive them. We build a probability model for a sequential Causal And-Or Graph to represent actions and their effects on objects over time. For inference, we apply a Viterbi algorithm, grounded on probabilistic detections from video, that fills in hidden and misdetected actions and statuses. Our results demonstrate the effectiveness of reasoning with causality over time.
Subjects/Keywords: Statistics; causality; computer vision
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APA (6th Edition):
Fire, A. S. (2016). Learning and Inferring Perceptual Causality from Video. (Thesis). UCLA. Retrieved from http://www.escholarship.org/uc/item/45m9s7hx
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):
Fire, Amy Sue. “Learning and Inferring Perceptual Causality from Video.” 2016. Thesis, UCLA. Accessed February 27, 2021.
http://www.escholarship.org/uc/item/45m9s7hx.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Fire, Amy Sue. “Learning and Inferring Perceptual Causality from Video.” 2016. Web. 27 Feb 2021.
Vancouver:
Fire AS. Learning and Inferring Perceptual Causality from Video. [Internet] [Thesis]. UCLA; 2016. [cited 2021 Feb 27].
Available from: http://www.escholarship.org/uc/item/45m9s7hx.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Fire AS. Learning and Inferring Perceptual Causality from Video. [Thesis]. UCLA; 2016. Available from: http://www.escholarship.org/uc/item/45m9s7hx
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
University of Michigan
10.
Chow, Michael.
Scaling Causality Analysis for Production Systems.
Degree: PhD, Computer Science & Engineering, 2016, University of Michigan
URL: http://hdl.handle.net/2027.42/135888
► Causality analysis reveals how program values influence each other. It is important for debugging, optimizing, and understanding the execution of programs. This thesis scales causality…
(more)
▼ Causality analysis reveals how program values influence each other.
It is important for debugging, optimizing, and understanding the execution of
programs. This thesis scales
causality analysis to production systems
consisting of desktop and server applications as well as large-scale Internet
services. This enables developers to employ
causality analysis to debug and
optimize complex, modern software systems. This thesis shows that it is
possible to scale
causality analysis to both fine-grained instruction level
analysis and analysis of Internet scale distributed systems with thousands of
discrete software components by developing and employing automated methods to
observe and reason about
causality.
First, we observe
causality at a fine-grained instruction level by developing
the first taint tracking framework to support tracking millions of input
sources. We also introduce flexible taint tracking to allow
for scoping different queries and dynamic filtering of inputs, outputs, and
relationships.
Next, we introduce the Mystery Machine, which uses a ``big data'' approach to
discover causal relationships between software components in a large-scale
Internet service. We leverage the fact that large-scale Internet services
receive a large number of requests in order to observe counterexamples to
hypothesized causal relationships. Using discovered casual relationships, we
identify the critical path for request execution and use the critical path
analysis to explore potential scheduling optimizations.
Finally, we explore using
causality to make data-quality tradeoffs in
Internet services. A data-quality tradeoff is an explicit decision by a software
component to return lower-fidelity data in order to improve response time or
minimize resource usage. We perform a study of data-quality tradeoffs in a
large-scale Internet service to show the pervasiveness of these
tradeoffs. We develop DQBarge, a system that enables better data-quality
tradeoffs by propagating critical information along the causal path of request
processing. Our evaluation shows that DQBarge helps Internet services mitigate
load spikes, improve utilization of spare resources, and implement dynamic
capacity planning.
Advisors/Committee Members: Flinn, Jason Nelson (committee member), Nagarajan, Viswanath (committee member), Cafarella, Michael John (committee member), Wenisch, Thomas F (committee member).
Subjects/Keywords: causality analysis; Computer Science; Engineering
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APA (6th Edition):
Chow, M. (2016). Scaling Causality Analysis for Production Systems. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/135888
Chicago Manual of Style (16th Edition):
Chow, Michael. “Scaling Causality Analysis for Production Systems.” 2016. Doctoral Dissertation, University of Michigan. Accessed February 27, 2021.
http://hdl.handle.net/2027.42/135888.
MLA Handbook (7th Edition):
Chow, Michael. “Scaling Causality Analysis for Production Systems.” 2016. Web. 27 Feb 2021.
Vancouver:
Chow M. Scaling Causality Analysis for Production Systems. [Internet] [Doctoral dissertation]. University of Michigan; 2016. [cited 2021 Feb 27].
Available from: http://hdl.handle.net/2027.42/135888.
Council of Science Editors:
Chow M. Scaling Causality Analysis for Production Systems. [Doctoral Dissertation]. University of Michigan; 2016. Available from: http://hdl.handle.net/2027.42/135888
Texas A&M University
11.
Kibriya, Shahriar.
Aid and Peace A Critique of Foreign Assistance, Conflict and Development.
Degree: PhD, Agricultural Economics, 2012, Texas A&M University
URL: http://hdl.handle.net/1969.1/ETD-TAMU-2011-12-10688
► In 2000, the World Bank estimated that 2.8 billion people lived on incomes of less than $2.00 a day. Meanwhile about forty percent of the…
(more)
▼ In 2000, the World Bank estimated that 2.8 billion people lived on incomes of less than $2.00 a day. Meanwhile about forty percent of the world's population endured conflict, most of them from the same subset. The implementation of foreign assistance to mitigate poverty and conflict is a key focus of politicians, bureaucrats and social scientists. The goal of this research is to discover relationships among foreign aid, conflict, and socio-economic development, and assess the implications.
Other evaluations either approach this issue from a hedonistic, theoretical standpoint, or follow a stylized project evaluation method. This research is intended to create a bridge between the two approaches by: 1) proposing theoretical models of assistance and conflict accounting for current status quo, and 2) introducing novel empirical methods to analyze the causes and effects of development, intervention and conflict.
The research begins with a comparative analysis of different schools of thought concerning foreign intervention, conflict and development. Contemporary philosophies and policies provide the basis for assumptions and inquiries addressed in the latter part of this dissertation. The review is followed by a critique of relevant data and their sources. A theoretical model of foreign assistance allocation and its possible impacts on conflict is proposed. The theoretical model is verified through an empirical examination using inductive casual inference methods. It is concluded that under current mandates and policies, aggregate foreign assistance has no effect on conflict and development in poor countries.
Research is then directed toward analyzing the effect of foreign assistance on conflict, disaggregated by sector. Agricultural and food security assistance were identified as the most effective method of mitigating conflict. The next segments of research concentrate on agricultural development. A model of agricultural development is proposed that will promote food security and mitigate conflict. In the last analysis, a direct causal relationship is found between commodity prices and conflict. Findings are summarized in the conclusion, and recommendations are provided for policy re-evaluations.
Advisors/Committee Members: Price, Edwin (advisor), Bessler, David (committee member), Ng, Desmond (committee member), Shinn, Glen (committee member).
Subjects/Keywords: Foreign Aid; Conflict; Development
Causality
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to Zotero / EndNote / Reference
Manager
APA (6th Edition):
Kibriya, S. (2012). Aid and Peace A Critique of Foreign Assistance, Conflict and Development. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/ETD-TAMU-2011-12-10688
Chicago Manual of Style (16th Edition):
Kibriya, Shahriar. “Aid and Peace A Critique of Foreign Assistance, Conflict and Development.” 2012. Doctoral Dissertation, Texas A&M University. Accessed February 27, 2021.
http://hdl.handle.net/1969.1/ETD-TAMU-2011-12-10688.
MLA Handbook (7th Edition):
Kibriya, Shahriar. “Aid and Peace A Critique of Foreign Assistance, Conflict and Development.” 2012. Web. 27 Feb 2021.
Vancouver:
Kibriya S. Aid and Peace A Critique of Foreign Assistance, Conflict and Development. [Internet] [Doctoral dissertation]. Texas A&M University; 2012. [cited 2021 Feb 27].
Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2011-12-10688.
Council of Science Editors:
Kibriya S. Aid and Peace A Critique of Foreign Assistance, Conflict and Development. [Doctoral Dissertation]. Texas A&M University; 2012. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2011-12-10688
Tampere University
12.
Sivula, Inna.
What drives corruption and how corruption impacts business formation? A case study of Ukraine in a prospect of cross-country analysis
.
Degree: 2015, Tampere University
URL: https://trepo.tuni.fi/handle/10024/98100
► As a citizen of Ukraine I am concerned about the prosperity of my home country. In this thesis I define the biggest obstacles for Ukraine…
(more)
▼ As a citizen of Ukraine I am concerned about the prosperity of my home country. In this thesis I define the biggest obstacles for Ukraine s development in a prospect of a cross-country analysis. My main concern is that corruption is the biggest problem in Ukraine. I believe that corruption prevents the development of the country through its negative impact on private sector activity.
With this thesis I want to point out what Ukraine should take into consideration in order to eliminate corruption based on the experience of other countries. For this reason I primarily observe what drives corruption among countries. Secondly, I examine whether corruption affects business equally in all countries and what other factors are important for business development worldwide. Therefore, this thesis is based on the corruption facts observed in Ukraine and the results are obtained using the fixed effects method in the panel data.
The main findings indicate that the most significant drivers of corruption in all countries are lack of judicial autonomy and weak competition among political parties. Corruption did not show any significant impact on business formation until 2SLS estimator was applied. Hence, there is a weak causal effect that runs from corruption to business formation, meaning that in countries with lower corruption business activity is higher. In addition, availability of financial resources, less complex tax systems and more years of compulsory education are found to be positively associated with business activity.
Subjects/Keywords: corruption;
business;
causality;
Ukraine
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Export
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Manager
APA (6th Edition):
Sivula, I. (2015). What drives corruption and how corruption impacts business formation? A case study of Ukraine in a prospect of cross-country analysis
. (Masters Thesis). Tampere University. Retrieved from https://trepo.tuni.fi/handle/10024/98100
Chicago Manual of Style (16th Edition):
Sivula, Inna. “What drives corruption and how corruption impacts business formation? A case study of Ukraine in a prospect of cross-country analysis
.” 2015. Masters Thesis, Tampere University. Accessed February 27, 2021.
https://trepo.tuni.fi/handle/10024/98100.
MLA Handbook (7th Edition):
Sivula, Inna. “What drives corruption and how corruption impacts business formation? A case study of Ukraine in a prospect of cross-country analysis
.” 2015. Web. 27 Feb 2021.
Vancouver:
Sivula I. What drives corruption and how corruption impacts business formation? A case study of Ukraine in a prospect of cross-country analysis
. [Internet] [Masters thesis]. Tampere University; 2015. [cited 2021 Feb 27].
Available from: https://trepo.tuni.fi/handle/10024/98100.
Council of Science Editors:
Sivula I. What drives corruption and how corruption impacts business formation? A case study of Ukraine in a prospect of cross-country analysis
. [Masters Thesis]. Tampere University; 2015. Available from: https://trepo.tuni.fi/handle/10024/98100
University of York
13.
Kim, Jinki.
Applications of non-linear time series models on finance and macroeconomics.
Degree: PhD, 2003, University of York
URL: http://etheses.whiterose.ac.uk/10824/
;
http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.274515
Subjects/Keywords: 339; Causality
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APA ·
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MLA ·
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Export
to Zotero / EndNote / Reference
Manager
APA (6th Edition):
Kim, J. (2003). Applications of non-linear time series models on finance and macroeconomics. (Doctoral Dissertation). University of York. Retrieved from http://etheses.whiterose.ac.uk/10824/ ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.274515
Chicago Manual of Style (16th Edition):
Kim, Jinki. “Applications of non-linear time series models on finance and macroeconomics.” 2003. Doctoral Dissertation, University of York. Accessed February 27, 2021.
http://etheses.whiterose.ac.uk/10824/ ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.274515.
MLA Handbook (7th Edition):
Kim, Jinki. “Applications of non-linear time series models on finance and macroeconomics.” 2003. Web. 27 Feb 2021.
Vancouver:
Kim J. Applications of non-linear time series models on finance and macroeconomics. [Internet] [Doctoral dissertation]. University of York; 2003. [cited 2021 Feb 27].
Available from: http://etheses.whiterose.ac.uk/10824/ ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.274515.
Council of Science Editors:
Kim J. Applications of non-linear time series models on finance and macroeconomics. [Doctoral Dissertation]. University of York; 2003. Available from: http://etheses.whiterose.ac.uk/10824/ ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.274515
Arizona State University
14.
Wang, Hong Xiang.
Visual Analytics Methodologies on Causality Analysis.
Degree: Computer Science, 2019, Arizona State University
URL: http://repository.asu.edu/items/54943
► Causality analysis is the process of identifying cause-effect relationships among variables. This process is challenging because causal relationships cannot be tested solely based on statistical…
(more)
▼ Causality analysis is the process of identifying
cause-effect relationships among variables. This process is
challenging because causal relationships cannot be tested solely
based on statistical indicators as additional information is always
needed to reduce the ambiguity caused by factors beyond those
covered by the statistical test. Traditionally, controlled
experiments are carried out to identify causal relationships, but
recently there is a growing interest in causality analysis with
observational data due to the increasing availability of data and
tools. This type of analysis will often involve automatic
algorithms that extract causal relations from large amounts of data
and rely on expert judgment to scrutinize and verify the relations.
Over-reliance on these automatic algorithms is dangerous because
models trained on observational data are susceptible to bias that
can be difficult to spot even with expert oversight. Visualization
has proven to be effective at bridging the gap between human
experts and statistical models by enabling an interactive
exploration and manipulation of the data and models. This thesis
develops a visual analytics framework to support the interaction
between human experts and automatic models in causality analysis.
Three case studies were conducted to demonstrate the application of
the visual analytics framework in which feature engineering,
insight generation, correlation analysis, and causality inspections
were showcased.
Subjects/Keywords: Computer science; Causality; Visual Analytics
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APA ·
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Manager
APA (6th Edition):
Wang, H. X. (2019). Visual Analytics Methodologies on Causality Analysis. (Doctoral Dissertation). Arizona State University. Retrieved from http://repository.asu.edu/items/54943
Chicago Manual of Style (16th Edition):
Wang, Hong Xiang. “Visual Analytics Methodologies on Causality Analysis.” 2019. Doctoral Dissertation, Arizona State University. Accessed February 27, 2021.
http://repository.asu.edu/items/54943.
MLA Handbook (7th Edition):
Wang, Hong Xiang. “Visual Analytics Methodologies on Causality Analysis.” 2019. Web. 27 Feb 2021.
Vancouver:
Wang HX. Visual Analytics Methodologies on Causality Analysis. [Internet] [Doctoral dissertation]. Arizona State University; 2019. [cited 2021 Feb 27].
Available from: http://repository.asu.edu/items/54943.
Council of Science Editors:
Wang HX. Visual Analytics Methodologies on Causality Analysis. [Doctoral Dissertation]. Arizona State University; 2019. Available from: http://repository.asu.edu/items/54943
University of Florida
15.
Kang, Daesung.
Network Analysis of Neural Activity.
Degree: PhD, Biomedical Engineering, 2016, University of Florida
URL: https://ufdc.ufl.edu/UFE0049536
Subjects/Keywords: causality; granger
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APA (6th Edition):
Kang, D. (2016). Network Analysis of Neural Activity. (Doctoral Dissertation). University of Florida. Retrieved from https://ufdc.ufl.edu/UFE0049536
Chicago Manual of Style (16th Edition):
Kang, Daesung. “Network Analysis of Neural Activity.” 2016. Doctoral Dissertation, University of Florida. Accessed February 27, 2021.
https://ufdc.ufl.edu/UFE0049536.
MLA Handbook (7th Edition):
Kang, Daesung. “Network Analysis of Neural Activity.” 2016. Web. 27 Feb 2021.
Vancouver:
Kang D. Network Analysis of Neural Activity. [Internet] [Doctoral dissertation]. University of Florida; 2016. [cited 2021 Feb 27].
Available from: https://ufdc.ufl.edu/UFE0049536.
Council of Science Editors:
Kang D. Network Analysis of Neural Activity. [Doctoral Dissertation]. University of Florida; 2016. Available from: https://ufdc.ufl.edu/UFE0049536
NSYSU
16.
Chan, Yu-Lin.
A Numerical Method to Solve the Divergence Issue of Microwave Circuit Model Extraction.
Degree: Master, Electrical Engineering, 2012, NSYSU
URL: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0808112-141533
► With the development of consumer electronics, the circuitry structure become more complex, For this reason, it might cause numerical errors to be cumulated in the…
(more)
▼ With the development of consumer electronics, the circuitry structure become more complex, For this reason, it might cause numerical errors to be cumulated in the simulation using the numerical electromagnetic algorithm, and result in simulated divergence or error. The two reasons of numerical error are passivity and
causality, which priginate from the defect in the numerical calculation. In this thesis, for this problem, investigate the numerical compensation method for passivity, The occurrence of passive will make the frequency point of power is negative, this will makes the system divergence, Improve this problem, passivity verification and enforcement by eigenvalue in the Y-parameter, in the S-parameter by the singular value,
causality conditions must be match with the imaginary part and the real part relationship, such as the Hilbert transform or the Kramer-Kronig relation, can be used to make causal verification and enforcement.
Through some numerical methods, used simulation software such as: HFSS, ADS simulation of the microwave circuit model extraction, modified singular value, eigenvalue, and reached to reduce the numerical error, let it satisfy the convergence and avoid incorrect results, and minimize the impact of the initial data, does not change the characteristics of the original module, but also to solve the passive and the issue of
causality.
Advisors/Committee Members: Ken-Huang Lin (chair), Chih-Wen Kuo (committee member), Chie-In Lee (chair), Ming-Cheng Liang (chair).
Subjects/Keywords: Singular Value; Eigenvalue; Causality; Passivity; Hilbert Transform
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Manager
APA (6th Edition):
Chan, Y. (2012). A Numerical Method to Solve the Divergence Issue of Microwave Circuit Model Extraction. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0808112-141533
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):
Chan, Yu-Lin. “A Numerical Method to Solve the Divergence Issue of Microwave Circuit Model Extraction.” 2012. Thesis, NSYSU. Accessed February 27, 2021.
http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0808112-141533.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Chan, Yu-Lin. “A Numerical Method to Solve the Divergence Issue of Microwave Circuit Model Extraction.” 2012. Web. 27 Feb 2021.
Vancouver:
Chan Y. A Numerical Method to Solve the Divergence Issue of Microwave Circuit Model Extraction. [Internet] [Thesis]. NSYSU; 2012. [cited 2021 Feb 27].
Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0808112-141533.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Chan Y. A Numerical Method to Solve the Divergence Issue of Microwave Circuit Model Extraction. [Thesis]. NSYSU; 2012. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0808112-141533
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Universiteit Utrecht
17.
Mulder, Sjoerd.
He will cause the rain. An enquiry into a farmer's belief in providence.
Degree: 2008, Universiteit Utrecht
URL: http://dspace.library.uu.nl:8080/handle/1874/29676
► Taking the example of a farmer who thanks God for pouring rain upon his crop, this thesis in-vestigates different views on the relationship to lay…
(more)
▼ Taking the example of a farmer who thanks God for pouring rain upon his crop, this thesis in-vestigates different views on the relationship to lay belief and theology. Two authors are compared: John Polkinghorne, who suggests that theology should both deepen and correct these kinds of lay beliefs by relating scientific knowledge to those beliefs; and Maurice Wiles who claims that theol-ogy should reinterpret lay beliefs as *attitudes* thereby emptying these beliefs of their scientific implications.
Both Polkinghorne and Wiles seem to interpret religious utterances mainly as statements about the world. The thanksgiving of the farmer is thereby reduced to a flat pseudoscientific claim about the world in terms of acts and causes (God is an actor and the rain his cause), which is from a scien-tific point of view either wrong (says Wiles) or naive (says Polkinghorne).
This thesis seeks to do more justice to the farmer’s faith by proposing another view on the rela-tionship between theology and faith, which provides an adequate answer to the theories of Wiles and Polkinghorne.
Advisors/Committee Members: Brom, L.J. van den, Grube, D-M..
Subjects/Keywords: Godgeleerdheid; providence; causality; divine action; natural theology
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APA (6th Edition):
Mulder, S. (2008). He will cause the rain. An enquiry into a farmer's belief in providence. (Masters Thesis). Universiteit Utrecht. Retrieved from http://dspace.library.uu.nl:8080/handle/1874/29676
Chicago Manual of Style (16th Edition):
Mulder, Sjoerd. “He will cause the rain. An enquiry into a farmer's belief in providence.” 2008. Masters Thesis, Universiteit Utrecht. Accessed February 27, 2021.
http://dspace.library.uu.nl:8080/handle/1874/29676.
MLA Handbook (7th Edition):
Mulder, Sjoerd. “He will cause the rain. An enquiry into a farmer's belief in providence.” 2008. Web. 27 Feb 2021.
Vancouver:
Mulder S. He will cause the rain. An enquiry into a farmer's belief in providence. [Internet] [Masters thesis]. Universiteit Utrecht; 2008. [cited 2021 Feb 27].
Available from: http://dspace.library.uu.nl:8080/handle/1874/29676.
Council of Science Editors:
Mulder S. He will cause the rain. An enquiry into a farmer's belief in providence. [Masters Thesis]. Universiteit Utrecht; 2008. Available from: http://dspace.library.uu.nl:8080/handle/1874/29676
University of Edinburgh
18.
Lawson, Alexandra.
Fulfilling Expectations in Implicit Causality Constructions: A Psycholinguistic Study of Coreference and Coherence Biases.
Degree: 2013, University of Edinburgh
URL: http://hdl.handle.net/1842/8643
► IC verbs have also been studied in a different framework that sheds light on more complex behaviour. Within the theoretical framework of Discourse Coherence, there…
(more)
▼ IC verbs have also been studied in a different framework that sheds light on more complex behaviour. Within the theoretical framework of Discourse Coherence, there are several discourse relations that break down the work of coherence into more nuanced categories. Each coherence relation describes a different kind of relationship governing segments of a discourse in a way that allows comprehenders to predict the direction that the discourse is going (Kehler 2000, 2002). The important relation for discussing IC verbs is the Explanation relation. An Explanation relation describes how comprehenders infer that, out of two sentences, the second one provides explanatory information for the first (Kehler 2002). Kehler et al. (2008) found that not only do IC verbs produce object-bias continuations, they also reliably produce continuations that contain an Explanation relation. This fact alone suggests that there is some relationship between IC verbs and the discourse, because the
causality somehow triggers comprehenders to search for a satisfying explanation and produce one if they cannot retrieve one from the discourse (Kehler et al. 2008). In an attempt to interrogate this relationship further, various experiments have been done to see if the Explanation expectation can be ‘satisfied’ or ‘fulfilled’ by a phrase that bears an explanation. In the event that this expectation is satisfied, then not only would an Explanation no longer be needed or produced, but the object would also be released from its bias and the comprehender would be free to discuss the target
subject or object. If these experiments are successful, the results show that Implicit
Causality as a coherence and coreference phenomenon has less rigid behaviour than has been predicted by researchers like Hartshorne. Additionally, these experiments suggest that Implicit
Causality is at least partially manifested in the discourse.
Advisors/Committee Members: Rohde, Hannah.
Subjects/Keywords: coreference; coherence; Implicit Causality; story continuation; Discourse
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APA (6th Edition):
Lawson, A. (2013). Fulfilling Expectations in Implicit Causality Constructions: A Psycholinguistic Study of Coreference and Coherence Biases. (Thesis). University of Edinburgh. Retrieved from http://hdl.handle.net/1842/8643
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):
Lawson, Alexandra. “Fulfilling Expectations in Implicit Causality Constructions: A Psycholinguistic Study of Coreference and Coherence Biases.” 2013. Thesis, University of Edinburgh. Accessed February 27, 2021.
http://hdl.handle.net/1842/8643.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Lawson, Alexandra. “Fulfilling Expectations in Implicit Causality Constructions: A Psycholinguistic Study of Coreference and Coherence Biases.” 2013. Web. 27 Feb 2021.
Vancouver:
Lawson A. Fulfilling Expectations in Implicit Causality Constructions: A Psycholinguistic Study of Coreference and Coherence Biases. [Internet] [Thesis]. University of Edinburgh; 2013. [cited 2021 Feb 27].
Available from: http://hdl.handle.net/1842/8643.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Lawson A. Fulfilling Expectations in Implicit Causality Constructions: A Psycholinguistic Study of Coreference and Coherence Biases. [Thesis]. University of Edinburgh; 2013. Available from: http://hdl.handle.net/1842/8643
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
University of California – Berkeley
19.
Snowden, Jonathan Maclean.
Application of Causal Inference Methods to Estimate Single Pollutant and Multi-Pollutant Health Effects in Asthmatic Children in Fresno, California.
Degree: Epidemiology, 2011, University of California – Berkeley
URL: http://www.escholarship.org/uc/item/7xt0k6ts
► The methodological challenges associated with conducting research on air pollution mixtures are well-known: correlated co-pollutants result in unstable effect estimates and large standard errors, hindering…
(more)
▼ The methodological challenges associated with conducting research on air pollution mixtures are well-known: correlated co-pollutants result in unstable effect estimates and large standard errors, hindering the assignment of causality to any one exposure. There is still relatively little research in the growing multi-pollutant literature that is focused on the mixture itself as the unit of analysis. In this dissertation, I implement a statistical method from the causal inference literature to estimate the effects of ambient air pollution, as single pollutants and in a two-pollutant mixture. I analyze the effects of single-pollutant and multi-pollutant summertime ambient air pollution exposures on pulmonary function in a cohort of children with asthma living in Fresno, California. I employ a technique from the causal inference literature, the Population Intervention Model (PIM), to describe the health effects that would result from several hypothetical interventions that involve lowering concentrations of ambient air pollution. By describing the health effects of the ambient air pollutants in these terms, this approach estimates results that are relevant to real-world policy questions. Furthermore, this analytical approach permits the calculation of air pollution health effects that correspond to multiple pollutants dynamically changing within a mixture, as ambient air pollution is actually experienced by people. I interpret each of these health effects according to whether it reflects a realistic, or even a possible, exposure scenario during the study period and in the region where data were collected. I achieve this through an examination of the individual and joint distributions of the pollutants under study.This dissertation contains several analyses, corresponding to single- and multi-pollutant exposure regimens. In the first analysis, I analyze the effects of ambient summertime NO2 on FEF25-75 in a single-pollutant approach that demonstrates the methodological approach. All analyses use central-site exposure data, assigning all subjects on a given study day the same air pollution exposure values. Ambient PM10-2.5 is analyzed throughout as a summertime pollutant of secondary interest, both in a single-pollutant PM10-2.5 analysis, and in a mixture analysis. For the multi-pollutant mixture analysis, I extend the Population Intervention Model framework demonstrated in the single-pollutant analyses to a two-pollutant summer analysis of ambient NO2 and PM10-2.5, estimating health effects associated with an intervention that dynamically alters levels of one or both pollutants. In this two-pollutant analysis, I estimate the effects of lowering levels of one co-pollutant while "controlling for" the other (i.e., holding it at observed levels), as well as the effects of a joint intervention that decreases levels of both pollutants. The Background chapter presents a brief history of air pollution epidemiology and policy, and reviews the epidemiologic and statistical research upon which this dissertation builds. The Methods…
Subjects/Keywords: Epidemiology; Air pollution; Asthma; Causality; Interventions; Mixtures
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APA (6th Edition):
Snowden, J. M. (2011). Application of Causal Inference Methods to Estimate Single Pollutant and Multi-Pollutant Health Effects in Asthmatic Children in Fresno, California. (Thesis). University of California – Berkeley. Retrieved from http://www.escholarship.org/uc/item/7xt0k6ts
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):
Snowden, Jonathan Maclean. “Application of Causal Inference Methods to Estimate Single Pollutant and Multi-Pollutant Health Effects in Asthmatic Children in Fresno, California.” 2011. Thesis, University of California – Berkeley. Accessed February 27, 2021.
http://www.escholarship.org/uc/item/7xt0k6ts.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Snowden, Jonathan Maclean. “Application of Causal Inference Methods to Estimate Single Pollutant and Multi-Pollutant Health Effects in Asthmatic Children in Fresno, California.” 2011. Web. 27 Feb 2021.
Vancouver:
Snowden JM. Application of Causal Inference Methods to Estimate Single Pollutant and Multi-Pollutant Health Effects in Asthmatic Children in Fresno, California. [Internet] [Thesis]. University of California – Berkeley; 2011. [cited 2021 Feb 27].
Available from: http://www.escholarship.org/uc/item/7xt0k6ts.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Snowden JM. Application of Causal Inference Methods to Estimate Single Pollutant and Multi-Pollutant Health Effects in Asthmatic Children in Fresno, California. [Thesis]. University of California – Berkeley; 2011. Available from: http://www.escholarship.org/uc/item/7xt0k6ts
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
UCLA
20.
DerSarkissian, Maral Elizabeth.
Multiply Robust Estimation: The Development and Evaluation of a Novel Method for Causal Analysis.
Degree: Epidemiology, 2014, UCLA
URL: http://www.escholarship.org/uc/item/6j84517p
► Correct model specification for confounding control is likely the most common assumption made in causal inference. Yet the validity of this assumption cannot be verified…
(more)
▼ Correct model specification for confounding control is likely the most common assumption made in causal inference. Yet the validity of this assumption cannot be verified using data or statistical tests. Typically, investigators collect as much data on confounders as possible and then consider multiple models singly. This is a tedious process, thus making multiply robust estimation, an extension of doubly robust estimation, particularly appealing as it affords investigators with more than two chances to specify a correct model within a union model, obviating multiple results presentation. This dissertation introduces a multiply robust approach that combines three or more estimators in one union model, yielding unbiased effect estimates provided at least one of the estimators is correctly specified, no new bias is introduced, and there is no uncontrolled confounding. This dissertation focuses on the development and evaluation of multiply robust estimation in single and multilevel models and in the presence of effect modification and interaction. Monte Carlo simulations are used to assess performance and present a proof of concept, and illustrative examples based on global health data will be used to demonstrate applications of the MR estimation method. A framework for doubly and multiply robust estimators is also presented using directed acyclic graphs to show how multiple adjustment schemes can be combined to yield a consistent effect estimate. Interpretation of doubly robust and multiply robust estimates is also discussed, and it is proposed that a partial-marginal and partial-conditional framework for interpretation is necessary. Results showed that effect estimates for the exposure(s) of interest obtained using MR estimation had higher chances of being valid, or robust to misspecification, whenever at least one of the underlying estimators was not misspecified. This approach allows investigators who disagree about appropriate covariate adjustment schemes to merge their views and obtain a single set of results without forcing them to agree on one model. Although the assumption of correct model specification cannot be verified, multiply robust estimation nevertheless pools opportunities by specifying more than two estimators in one union model in an attempt to hedge a bet on consistently getting a valid effect estimate.
Subjects/Keywords: Epidemiology; causality; epidemiology; methods; multiply robust
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APA (6th Edition):
DerSarkissian, M. E. (2014). Multiply Robust Estimation: The Development and Evaluation of a Novel Method for Causal Analysis. (Thesis). UCLA. Retrieved from http://www.escholarship.org/uc/item/6j84517p
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):
DerSarkissian, Maral Elizabeth. “Multiply Robust Estimation: The Development and Evaluation of a Novel Method for Causal Analysis.” 2014. Thesis, UCLA. Accessed February 27, 2021.
http://www.escholarship.org/uc/item/6j84517p.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
DerSarkissian, Maral Elizabeth. “Multiply Robust Estimation: The Development and Evaluation of a Novel Method for Causal Analysis.” 2014. Web. 27 Feb 2021.
Vancouver:
DerSarkissian ME. Multiply Robust Estimation: The Development and Evaluation of a Novel Method for Causal Analysis. [Internet] [Thesis]. UCLA; 2014. [cited 2021 Feb 27].
Available from: http://www.escholarship.org/uc/item/6j84517p.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
DerSarkissian ME. Multiply Robust Estimation: The Development and Evaluation of a Novel Method for Causal Analysis. [Thesis]. UCLA; 2014. Available from: http://www.escholarship.org/uc/item/6j84517p
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
University of Utah
21.
Vo, Anh.
Scalable formal dynamic verification of MPI programs through distributed causality tracking.
Degree: PhD, Computer Science, 2011, University of Utah
URL: http://content.lib.utah.edu/cdm/singleitem/collection/etd3/id/177/rec/2131
► Almost all high performance computing applications are written in MPI, which will continue to be the case for at least the next several years. Given…
(more)
▼ Almost all high performance computing applications are written in MPI, which will continue to be the case for at least the next several years. Given the huge and growing importance of MPI, and the size and sophistication of MPI codes, scalable and incisive MPI debugging tools are essential. Existing MPI debugging tools have, despite their strengths, many glaring de ficiencies, especially when it comes to debugging under the presence of nondeterminism related bugs, which are bugs that do not always show up during testing. These bugs usually become manifest when the systems are ported to di fferent platforms for production runs. This dissertation focuses on the problem of developing scalable dynamic verifi cation tools for MPI programs that can provide a coverage guarantee over the space of MPI nondeterminism. That is, the tools should be able to detect diff erent outcomes of nondeterministic events in an MPI program and enforce all those di fferent outcomes through repeated executions of the program with the same test harness. We propose to achieve the coverage guarantee by introducing efficient distributed causality tracking protocols that are based on the matches-before order. The matches-before order is introduced to address the shortcomings of the Lamport happens-before order [40], which is not sufficient to capture causality for MPI program executions due to the complexity of the MPI semantics. The two protocols we propose are the Lazy Lamport Clocks Protocol (LLCP) and the Lazy Vector Clocks Protocol (LVCP). LLCP provides good scalability with a small possibility of missing potential outcomes of nondeterministic events while LVCP provides full coverage guarantee with a scalability tradeoff . In practice, we show through our experiments that LLCP provides the same coverage as LVCP. This thesis makes the following contributions: •The MPI matches-before order that captures the causality between MPI events in an MPI execution. • Two distributed causality tracking protocols for MPI programs that rely on the matches-before order. • A Distributed Analyzer for MPI programs (DAMPI), which implements the two aforementioned protocols to provide scalable and modular dynamic verifi cation for MPI programs. • Scalability enhancement through algorithmic improvements for ISP, a dynamic verifi er for MPI programs.
Subjects/Keywords: Causality tracking; Correctness checking; MPI; Verification
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APA (6th Edition):
Vo, A. (2011). Scalable formal dynamic verification of MPI programs through distributed causality tracking. (Doctoral Dissertation). University of Utah. Retrieved from http://content.lib.utah.edu/cdm/singleitem/collection/etd3/id/177/rec/2131
Chicago Manual of Style (16th Edition):
Vo, Anh. “Scalable formal dynamic verification of MPI programs through distributed causality tracking.” 2011. Doctoral Dissertation, University of Utah. Accessed February 27, 2021.
http://content.lib.utah.edu/cdm/singleitem/collection/etd3/id/177/rec/2131.
MLA Handbook (7th Edition):
Vo, Anh. “Scalable formal dynamic verification of MPI programs through distributed causality tracking.” 2011. Web. 27 Feb 2021.
Vancouver:
Vo A. Scalable formal dynamic verification of MPI programs through distributed causality tracking. [Internet] [Doctoral dissertation]. University of Utah; 2011. [cited 2021 Feb 27].
Available from: http://content.lib.utah.edu/cdm/singleitem/collection/etd3/id/177/rec/2131.
Council of Science Editors:
Vo A. Scalable formal dynamic verification of MPI programs through distributed causality tracking. [Doctoral Dissertation]. University of Utah; 2011. Available from: http://content.lib.utah.edu/cdm/singleitem/collection/etd3/id/177/rec/2131
University of Alberta
22.
Amin, Md Shahedul.
Developing MATLAB Tools for Data Based Alarm Management and
Causality Analysis.
Degree: MS, Department of Electrical and Computer
Engineering, 2012, University of Alberta
URL: https://era.library.ualberta.ca/files/8s45q891p
► In this thesis, two Graphical User Interfaces (GUIs) are designed in MATLAB to perform causality analysis and alarm management. Finding out the root-cause of a…
(more)
▼ In this thesis, two Graphical User Interfaces (GUIs)
are designed in MATLAB to perform causality analysis and alarm
management. Finding out the root-cause of a fault scenario or an
abnormality in a large industrial process typically requires one to
logically analyze cause and effect relationships between variables.
Causality analysis can play a vital role to capture process
connectivity and topology and to identify relationships among the
variables in a process. The availability of large volumes of
industrial process data has now opened the way to develop
data-driven methods for causality detection. In the first tool,
different techniques of data visualization along with three
data-driven methods of causality analysis, namely,
cross-correlation, transfer entropy, and Granger causality, have
been implemented. Case studies are provided to illustrate the
capture of process connectivity using both transfer entropy and
Granger causality methods. Recent studies have shown that the
number of alarms in process industries is far more than the
approved standards because of a very high number of false and
nuisance alarms. The large number of alarms distracts the operator
from safe and regulatory monitoring of the processes, which leads
to plantwide upset and affects overall productivity of the system.
Therefore root cause identification of faults and alarm management
have become very important for process industries. The second tool
for alarm management is proposed where historic alarm data can be
used to find out the top bad actors in the system. Also functions
for correlated alarms and similarity between different alarm flood
analysis have been implemented in the GUI for easier root cause
identification.
Subjects/Keywords: MATLAB tools; Causality analysis; Alarm Management
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APA ·
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APA (6th Edition):
Amin, M. S. (2012). Developing MATLAB Tools for Data Based Alarm Management and
Causality Analysis. (Masters Thesis). University of Alberta. Retrieved from https://era.library.ualberta.ca/files/8s45q891p
Chicago Manual of Style (16th Edition):
Amin, Md Shahedul. “Developing MATLAB Tools for Data Based Alarm Management and
Causality Analysis.” 2012. Masters Thesis, University of Alberta. Accessed February 27, 2021.
https://era.library.ualberta.ca/files/8s45q891p.
MLA Handbook (7th Edition):
Amin, Md Shahedul. “Developing MATLAB Tools for Data Based Alarm Management and
Causality Analysis.” 2012. Web. 27 Feb 2021.
Vancouver:
Amin MS. Developing MATLAB Tools for Data Based Alarm Management and
Causality Analysis. [Internet] [Masters thesis]. University of Alberta; 2012. [cited 2021 Feb 27].
Available from: https://era.library.ualberta.ca/files/8s45q891p.
Council of Science Editors:
Amin MS. Developing MATLAB Tools for Data Based Alarm Management and
Causality Analysis. [Masters Thesis]. University of Alberta; 2012. Available from: https://era.library.ualberta.ca/files/8s45q891p
Cornell University
23.
Kwok, Sai Man Simon.
Credit And Financial Contagion: A Point Process Approach.
Degree: PhD, Economics, 2012, Cornell University
URL: http://hdl.handle.net/1813/31151
► This dissertation presents a set of econometric tools to uncover the mechanism of credit and financial contagion. First, a nonparametric Granger causality test for continuous…
(more)
▼ This dissertation presents a set of econometric tools to uncover the mechanism of credit and financial contagion. First, a nonparametric Granger
causality test for continuous time point process data is proposed. The test delivers inference results that are robust to model misspecifications. Applying the test to the point process data of Chapter 11 filings by U.S. corporations and negative shocks of major stock indices, the dissertation provides evidence for credit contagion across different sectors of the economy, as well as financial contagion across international stock markets. Second, a diagnostic checking procedure for parametric multivariate point process models is studied. The metholodogy equips empirical researchers with a portmanteau test in the crucial step of model validation after estimating a proposed parametric model.
Advisors/Committee Members: Hong, Yongmiao (chair), Kiefer, Nicholas Maximillian (committee member), Jarrow, Robert A. (committee member), Strawderman, Robert Lee (committee member).
Subjects/Keywords: Credit contagion; Granger causality; Point process
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APA (6th Edition):
Kwok, S. M. S. (2012). Credit And Financial Contagion: A Point Process Approach. (Doctoral Dissertation). Cornell University. Retrieved from http://hdl.handle.net/1813/31151
Chicago Manual of Style (16th Edition):
Kwok, Sai Man Simon. “Credit And Financial Contagion: A Point Process Approach.” 2012. Doctoral Dissertation, Cornell University. Accessed February 27, 2021.
http://hdl.handle.net/1813/31151.
MLA Handbook (7th Edition):
Kwok, Sai Man Simon. “Credit And Financial Contagion: A Point Process Approach.” 2012. Web. 27 Feb 2021.
Vancouver:
Kwok SMS. Credit And Financial Contagion: A Point Process Approach. [Internet] [Doctoral dissertation]. Cornell University; 2012. [cited 2021 Feb 27].
Available from: http://hdl.handle.net/1813/31151.
Council of Science Editors:
Kwok SMS. Credit And Financial Contagion: A Point Process Approach. [Doctoral Dissertation]. Cornell University; 2012. Available from: http://hdl.handle.net/1813/31151
Royal Holloway, University of London
24.
Schaechtle, Ulrich.
Dynamic causal discovery.
Degree: PhD, 2016, Royal Holloway, University of London
URL: https://pure.royalholloway.ac.uk/portal/en/publications/dynamic-causal-discovery(cd3d3473-702f-41ff-921d-94af862c6aad).html
;
https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.792446
► Discovering rich causal models computationally can be key to creating human like artificial intelligence. Recent research has detached the notion of time from approaches to…
(more)
▼ Discovering rich causal models computationally can be key to creating human like artificial intelligence. Recent research has detached the notion of time from approaches to causal inference and has thus obscured modelling of and inference over dynamic dependencies in causal systems. This thesis investigates how prior knowledge of temporal and dynamic dependencies, even if conceptually unrelated to causal inference, informs both modelling and inference over causal relations. Three novel methods are introduced incrementally and their contribution is positioned in the wider area of causal discovery. The first method discovers causal relations within high-dimensional tensor data as they are typically recorded in non-experimental databases. The method allows simultaneous inclusion of numerous dimensions within the data analysis such as samples, time and domain variables construed as tensors. It relies on dynamically changing noise but it does not model it explicitly. This explicit handling of changing noise levels, also known as the phenomenon of heteroskedasticity, is interpreted via a set of functional equations in the second method. This method not only exploits changing noise levels, but also simplifies assumptions made for causal discovery. However, as we expect heteroskedastic noise, it requires latent structural relations and variables for noise which produce heteroskedasticity. But learning such latent concepts begs for the discovery of more expressive models. The third method addresses the discovery of more complex models by introducing time as an observed entity in the system and builds on probabilistic programming. gpmem is a probabilistic programming technique that uses Gaussian Processes and is proposed here to provide a statistical alternative to memoization. We test all three methods on synthetic and real world data. Real world data-sets range over a variety of domains, for example healthcare, social sciences and biology. For these data-sets we achieve higher accuracy for causal discovery and more expressiveness than the current state-of-the-art. We use adequate and recent benchmarks for comparison.
Subjects/Keywords: Causality; Gaussian Processes; Causal Discovery; Probabilistic Programming
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APA ·
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MLA ·
Vancouver ·
CSE |
Export
to Zotero / EndNote / Reference
Manager
APA (6th Edition):
Schaechtle, U. (2016). Dynamic causal discovery. (Doctoral Dissertation). Royal Holloway, University of London. Retrieved from https://pure.royalholloway.ac.uk/portal/en/publications/dynamic-causal-discovery(cd3d3473-702f-41ff-921d-94af862c6aad).html ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.792446
Chicago Manual of Style (16th Edition):
Schaechtle, Ulrich. “Dynamic causal discovery.” 2016. Doctoral Dissertation, Royal Holloway, University of London. Accessed February 27, 2021.
https://pure.royalholloway.ac.uk/portal/en/publications/dynamic-causal-discovery(cd3d3473-702f-41ff-921d-94af862c6aad).html ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.792446.
MLA Handbook (7th Edition):
Schaechtle, Ulrich. “Dynamic causal discovery.” 2016. Web. 27 Feb 2021.
Vancouver:
Schaechtle U. Dynamic causal discovery. [Internet] [Doctoral dissertation]. Royal Holloway, University of London; 2016. [cited 2021 Feb 27].
Available from: https://pure.royalholloway.ac.uk/portal/en/publications/dynamic-causal-discovery(cd3d3473-702f-41ff-921d-94af862c6aad).html ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.792446.
Council of Science Editors:
Schaechtle U. Dynamic causal discovery. [Doctoral Dissertation]. Royal Holloway, University of London; 2016. Available from: https://pure.royalholloway.ac.uk/portal/en/publications/dynamic-causal-discovery(cd3d3473-702f-41ff-921d-94af862c6aad).html ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.792446
Texas A&M University
25.
Bryant, Henry L., IV.
Essays on the workings and uses of futures markets.
Degree: PhD, Agricultural Economics, 2004, Texas A&M University
URL: http://hdl.handle.net/1969.1/200
► This dissertation investigates various issues of interest regarding the workings and uses of commodity futures markets. Chapter II evaluates the relative performances of various estimators…
(more)
▼ This dissertation investigates various issues of interest regarding the workings and uses of commodity futures markets. Chapter II evaluates the relative performances of various estimators of bid-ask spreads in futures markets using commonly available transaction data. Results indicate a wide divergence in the performance of the competing estimators. This chapter also examines the effect of automating trading on spreads in commodity futures markets. Results indicate that spreads generally widened after trading was automated on the markets considered, and the tendency for spreads to widen during periods of high volatility increased. These results are in contrast to those found in higher volume financial futures markets.
Chapter III investigates various unresolved issues regarding futures markets, using formal methods appropriate for inferring causal relationships from observational data when some relevant quantities are hidden. I find no evidence supporting the generalized version of Keynes's theory of normal backwardation. I find no evidence supporting theories that predict that the level of activity of speculators or uninformed traders affects the level of price volatility, either positively or negatively. My evidence strongly supports the mixture of distribution hypothesis (MDH) that trading volume and price volatility have one or more latent common causes, resulting in their positive correlation.
Chapter IV examines partial equilibrium and statistical approaches to hedging. Different types of hedgers have traditionally used each of two approaches: derivatives dealers and market makers have typically used the former approach to hedge their portfolios, while commodity producers and consumers more commonly use the latter. This research provides the first known comparison of the out-of-sample hedging performance of the two approaches. Results indicate that for a simple derivative with a linear payoff function (a futures contract), the statistical models significantly outperform the partial equilibrium models considered here.
Advisors/Committee Members: Bessler, David A. (advisor), Haigh, Michael S. (advisor), Woodward, Richard (committee member), Balyeat, R. Brian (committee member).
Subjects/Keywords: futures; hedging; causality
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APA (6th Edition):
Bryant, Henry L., I. (2004). Essays on the workings and uses of futures markets. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/200
Chicago Manual of Style (16th Edition):
Bryant, Henry L., IV. “Essays on the workings and uses of futures markets.” 2004. Doctoral Dissertation, Texas A&M University. Accessed February 27, 2021.
http://hdl.handle.net/1969.1/200.
MLA Handbook (7th Edition):
Bryant, Henry L., IV. “Essays on the workings and uses of futures markets.” 2004. Web. 27 Feb 2021.
Vancouver:
Bryant, Henry L. I. Essays on the workings and uses of futures markets. [Internet] [Doctoral dissertation]. Texas A&M University; 2004. [cited 2021 Feb 27].
Available from: http://hdl.handle.net/1969.1/200.
Council of Science Editors:
Bryant, Henry L. I. Essays on the workings and uses of futures markets. [Doctoral Dissertation]. Texas A&M University; 2004. Available from: http://hdl.handle.net/1969.1/200
Texas A&M University
26.
Hagerman, Amy D.
Practices, perceptions and performance: a Texas cooperative study.
Degree: MS, Agricultural Economics, 2006, Texas A&M University
URL: http://hdl.handle.net/1969.1/3255
► Agricultural cooperatives are a unique form of business whose performance is tied closely to the financial health of their farmer members. The changing business environment…
(more)
▼ Agricultural cooperatives are a unique form of business whose performance is tied closely to the financial health of their farmer members. The changing business environment in Texas and other parts of the Midwest has put strain on farm and ranch owners as well as the cooperatives that serve them. As margins diminish and customer base grows smaller, cooperatives must become more financially efficient to remain economically viable. This study was aimed at identifying those operational decisions and company characteristics that separate successful, growing cooperative agribusinesses from stagnant ones through empirical analysis. In addition, through the use of directed acyclic graphs and econometric techniques, the study sought to explain the connection of manager practices and perceptions to organizational performance. The analysis was based on a survey of managers in the state of Texas operating a diverse group of agricultural cooperatives. It did not include financial or utilities cooperatives. The results indicated that successful cooperatives were larger in size, had a smaller number of close competitors, and perceived loyalty to be a large issue for the cooperative. Strategic planning was utilized equally by successful and stagnant cooperatives. Successful cooperatives were more apt to have a formal equity redemption plan, but this did not appear to have a significant impact on financial performance. The directed graphs showed a strong impact of manager perceptions in the area of member loyalty and performance. Further econometric analysis brought us to the conclusion that performance group and perceptions have some measurable impact in the areas of competition and loyalty. This is evidenced by the coefficients of the slope and intercept shifters for performance group being different from zero. An understanding of the factors that have the greatest impact on performance, such as competition and loyalty, can assist cooperative management teams in making operational decisions to mitigate their greatest risks and weaknesses, leading to a stronger financial position.
Advisors/Committee Members: Park, John L. (advisor), Leatham, David J. (committee member), Nixon, Clair J. (committee member).
Subjects/Keywords: cooperatives; management; causality
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APA (6th Edition):
Hagerman, A. D. (2006). Practices, perceptions and performance: a Texas cooperative study. (Masters Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/3255
Chicago Manual of Style (16th Edition):
Hagerman, Amy D. “Practices, perceptions and performance: a Texas cooperative study.” 2006. Masters Thesis, Texas A&M University. Accessed February 27, 2021.
http://hdl.handle.net/1969.1/3255.
MLA Handbook (7th Edition):
Hagerman, Amy D. “Practices, perceptions and performance: a Texas cooperative study.” 2006. Web. 27 Feb 2021.
Vancouver:
Hagerman AD. Practices, perceptions and performance: a Texas cooperative study. [Internet] [Masters thesis]. Texas A&M University; 2006. [cited 2021 Feb 27].
Available from: http://hdl.handle.net/1969.1/3255.
Council of Science Editors:
Hagerman AD. Practices, perceptions and performance: a Texas cooperative study. [Masters Thesis]. Texas A&M University; 2006. Available from: http://hdl.handle.net/1969.1/3255
Texas A&M University
27.
Lee, Sangkug.
The correlational and causal investigation into the land use-transportation relationships: evidence from the Dallas-Fort Worth metropolitan area.
Degree: PhD, Urban and Regional Science, 2006, Texas A&M University
URL: http://hdl.handle.net/1969.1/4299
► The role of land-use and related policies in reducing automobile dependence has been the subject of heated policy debate for over two decades. Previous research…
(more)
▼ The role of land-use and related policies in reducing automobile dependence has
been the
subject of heated policy debate for over two decades. Previous research has
shed light on the correlations between land-use and travel. Yet a crucial knowledge gap
still exists in establishing
causality between the two. Do changes in land-use
characteristics cause behavioral changes in individualsâ decisions on what transportation
means to use for travel? How does land-use as a contextual factor shape the decision
process and outcome of trip frequency and travel mode choice? These questions remain
largely unanswered.
Attempting to fill the gap, this study applied the directed acyclic graphs method
to identify the causal relationship between land-use and travel in the 9-county Dallas-
Fort Worth (D-FW) metropolitan area. The logit captivity (LC) model, an extension to
the conventional multinomial logit, was utilized to capture the contribution of land-use
in affecting individualsâ decisions on travel mode choice. All the data for this study were obtained from the North Central Texas Council of Governments (NCTCOG).
Evidence from the D-FW region confirms to a certain extent the causal effects of
land-use on travel. For work trips, increases in regional accessibility, job density and
share of commercial land-use reduce the use of automobiles. Higher regional
accessibility, however, causes households to generate automobile trips and thus leads to
the increase in vehicle miles of travel (VMT). For non-work trips, population density,
job density and regional accessibility are direct causes of the choice of automobile, while
only regional accessibility is causally connected to reducing automobile trips and VMT.
The logit captivity model results indicate that land-use contributes to captive-driving
choices for home-based work trips. Lack of land-use mix at trip origins increases the
probabilities of trip-makers being captive to the automobile from 0.06% to 5.62% for
driving-alone and from 0.38% to 3.55% for shared-ride.
Advisors/Committee Members: Lee, Chanam (advisor), Zhang, Ming (advisor), Bessler, David A. (committee member), Burris, Mark W. (committee member), Sui, Daniel Z. (committee member).
Subjects/Keywords: travel behavior; causality
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APA ·
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MLA ·
Vancouver ·
CSE |
Export
to Zotero / EndNote / Reference
Manager
APA (6th Edition):
Lee, S. (2006). The correlational and causal investigation into the land use-transportation relationships: evidence from the Dallas-Fort Worth metropolitan area. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/4299
Chicago Manual of Style (16th Edition):
Lee, Sangkug. “The correlational and causal investigation into the land use-transportation relationships: evidence from the Dallas-Fort Worth metropolitan area.” 2006. Doctoral Dissertation, Texas A&M University. Accessed February 27, 2021.
http://hdl.handle.net/1969.1/4299.
MLA Handbook (7th Edition):
Lee, Sangkug. “The correlational and causal investigation into the land use-transportation relationships: evidence from the Dallas-Fort Worth metropolitan area.” 2006. Web. 27 Feb 2021.
Vancouver:
Lee S. The correlational and causal investigation into the land use-transportation relationships: evidence from the Dallas-Fort Worth metropolitan area. [Internet] [Doctoral dissertation]. Texas A&M University; 2006. [cited 2021 Feb 27].
Available from: http://hdl.handle.net/1969.1/4299.
Council of Science Editors:
Lee S. The correlational and causal investigation into the land use-transportation relationships: evidence from the Dallas-Fort Worth metropolitan area. [Doctoral Dissertation]. Texas A&M University; 2006. Available from: http://hdl.handle.net/1969.1/4299
Addis Ababa University
28.
Hibret, Belay.
Determinants of Deposit Growth of commercial banks in Ethiopia
.
Degree: 2015, Addis Ababa University
URL: http://etd.aau.edu.et/dspace/handle/123456789/7840
► This study primarily aims at determining the short and long run impacts of determinant factors on deposit growth of commercial bank of Ethiopia for the…
(more)
▼ This study primarily aims at determining the short and long run impacts of determinant factors
on deposit growth of commercial bank of Ethiopia for the period 1974/75 to 2013/14 using
Vector Error Correction Model (VECM). The study also checked the causal relationships that
exist between deposit growth and its determinant factors employing test of Granger
causality. In
the empirical VECM model, control variables (Economic Growth, Inflation, Interest Rate,
Exchange Rate, Population Growth and Branch Expansion) are included to enable ceteris
paribus interpretation of the relationship and impact on the growth of deposit in commercial
bank of Ethiopia. The estimated results suggest that interest rate has positive but insignificant
impact on deposit growth both in the long run and short run. While Exchange rate and branch
expansion significantly increases banks deposit contemporaneously both in the short run and
long-run. Population and Economic growth also has a positive relationship with deposit growth
and it is significant in the long run but insignificant in the short run. However, Inflation has
positive and significant impact on deposit in the long-run and negative impact in the short run.
Using test of granger
causality, the study found uni-directional
causality that runs from deposit
to inflation, from exchange rate deposit, from deposit to interest rate, from population growth to
deposit without any feedback response. The finding also indicates that there is bi-directional
causality between branch expansion and deposit and economic growth in Ethiopia. This implies
that deposit can affect economic growth through investment. These results have important policy
implications for both domestic policy makers and the bankers working in the country. The
findings are of direct relevance to the development of deposit mobilization policy by the
commercial bank of Ethiopia.
Advisors/Committee Members: Yitbarek Takele(Dr.) (advisor).
Subjects/Keywords: Deposit;
Determinant Factors;
Granger Causality and CBE
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APA ·
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Manager
APA (6th Edition):
Hibret, B. (2015). Determinants of Deposit Growth of commercial banks in Ethiopia
. (Thesis). Addis Ababa University. Retrieved from http://etd.aau.edu.et/dspace/handle/123456789/7840
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):
Hibret, Belay. “Determinants of Deposit Growth of commercial banks in Ethiopia
.” 2015. Thesis, Addis Ababa University. Accessed February 27, 2021.
http://etd.aau.edu.et/dspace/handle/123456789/7840.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Hibret, Belay. “Determinants of Deposit Growth of commercial banks in Ethiopia
.” 2015. Web. 27 Feb 2021.
Vancouver:
Hibret B. Determinants of Deposit Growth of commercial banks in Ethiopia
. [Internet] [Thesis]. Addis Ababa University; 2015. [cited 2021 Feb 27].
Available from: http://etd.aau.edu.et/dspace/handle/123456789/7840.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Hibret B. Determinants of Deposit Growth of commercial banks in Ethiopia
. [Thesis]. Addis Ababa University; 2015. Available from: http://etd.aau.edu.et/dspace/handle/123456789/7840
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Technical University of Lisbon
29.
Amador, Tomás Alves.
Causalidade entre o crescimento económico, a emissão de CO2 e o consumo de energias renováveis em Portugal.
Degree: 2015, Technical University of Lisbon
URL: http://www.rcaap.pt/detail.jsp?id=oai:www.repository.utl.pt:10400.5/12003
► Mestrado em Métodos Quantitativos para a Decisão Económica e Empresarial
As questões ambientais constituem hoje em dia uma forte preocupação por parte da sociedade. Os…
(more)
▼ Mestrado em Métodos Quantitativos para a Decisão Económica e Empresarial
As questões ambientais constituem hoje em dia uma forte preocupação por parte da sociedade. Os problemas a este nível a que assistimos na última década vieram acentuar a necessidade de se alterar o comportamento, nomeadamente industrial, por forma a manter uma necessidade de crescimento a nível económico e em simultâneo assumir uma postura de responsabilidade ambiental preservando o meio ambiente, evitando problemas futuros como é o caso da diminuição da camada de ozono por via do efeito de estufa exagerado na atmosfera.
A metodologia utilizada na elaboração deste trabalho permite-nos perceber as relações causa-efeito entre o crescimento económico, a emissão de CO2 e o consumo de energias renováveis em Portugal, através dos testes de causalidade à Granger.
As principais conclusões foram, por um lado, a evidência de causalidade unilateral do consumo de energias renováveis relativamente ao PIB (crescimento económico), em que um aumento do primeiro origina um crescimento da economia portuguesa, por outro lado, a evidência de causalidade bidirecional entre as emissões de CO2 e o crescimento económico, ambas de forma positiva. A não verificação de que o consumo de energias renováveis causa a redução da emissão de CO2 pode ser explicada por um nível insuficiente de consumo destas formas de energia.
Nowadays, environmental topics are a strong society's concern. The issues observed at this level throughout the last decade emphasized the need for changing behaviours, namely in industrial terms, in order to maintain the economic growth and, simultaneously, to assume an attitude of environmental responsibility, avoiding future problems such as the thinning of the ozone layer due to the greenhouse effect.
The methodology used in this project allows us to understand the cause-effect relationships between economic growth, CO2 emissions and renewable energy consumption in Portugal, through Granger's causality tests.
The main conclusions were, on one hand, the evidence of unilateral causality of renewable energy consumption in relation to GDP (economic growth), in which an increase of the first leads to a growth of the Portuguese economy, and, on the other hand, the evidence of bilateral causality between CO2 emissions and economic growth - both in a positive way. The non-verification that the renewable energy consumption causes the reduction of the CO2 emissions can be explained by an insufficient level of consumption of this energy type.
Advisors/Committee Members: Proença, Isabel.
Subjects/Keywords: Ambiente; CO2; Causalidade; Granger; Portugal; Environment; Causality
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APA ·
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APA (6th Edition):
Amador, T. A. (2015). Causalidade entre o crescimento económico, a emissão de CO2 e o consumo de energias renováveis em Portugal. (Thesis). Technical University of Lisbon. Retrieved from http://www.rcaap.pt/detail.jsp?id=oai:www.repository.utl.pt:10400.5/12003
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):
Amador, Tomás Alves. “Causalidade entre o crescimento económico, a emissão de CO2 e o consumo de energias renováveis em Portugal.” 2015. Thesis, Technical University of Lisbon. Accessed February 27, 2021.
http://www.rcaap.pt/detail.jsp?id=oai:www.repository.utl.pt:10400.5/12003.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Amador, Tomás Alves. “Causalidade entre o crescimento económico, a emissão de CO2 e o consumo de energias renováveis em Portugal.” 2015. Web. 27 Feb 2021.
Vancouver:
Amador TA. Causalidade entre o crescimento económico, a emissão de CO2 e o consumo de energias renováveis em Portugal. [Internet] [Thesis]. Technical University of Lisbon; 2015. [cited 2021 Feb 27].
Available from: http://www.rcaap.pt/detail.jsp?id=oai:www.repository.utl.pt:10400.5/12003.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Amador TA. Causalidade entre o crescimento económico, a emissão de CO2 e o consumo de energias renováveis em Portugal. [Thesis]. Technical University of Lisbon; 2015. Available from: http://www.rcaap.pt/detail.jsp?id=oai:www.repository.utl.pt:10400.5/12003
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Technical University of Lisbon
30.
Santos, Nuno Duarte Fialho Sanches Borges dos.
Efeitos do consumo digital na imprensa escrita : evidência empírica para os jornais diários portugueses.
Degree: 2016, Technical University of Lisbon
URL: https://www.rcaap.pt/detail.jsp?id=oai:www.repository.utl.pt:10400.5/13169
► Mestrado em Econometria Aplicada e Previsão
O mercado dos media em geral é um dos sectores mais sensível ao choque tecnológico da digitalização. No caso…
(more)
▼ Mestrado em Econometria Aplicada e Previsão
O mercado dos media em geral é um dos sectores mais sensível ao choque tecnológico da digitalização.
No caso particular da imprensa escrita, as investigações existentes, não sendo concordantes, apontam pistas para a existência de efeitos positivos (ou de complementaridade), negativos (ou de substituição) ou mesmo neutrais entre os consumos digital e impressos. Dada a escassez de dados e investigações no mercado Português, o presente trabalho constitui uma investigação de natureza assumidamente empírica na pesquisa de efeitos de causalidade entre o consumo digital e o consumo em papel no mercado da imprensa escrita diária em Portugal.
Na perspectiva de cariz aplicado da investigação, a investigação adopta a metodologia VAR como veículo para o estudo da (não-) causalidade à Granger. No caso, tanto numa perspectiva individual através de modelos VAR independentes para cada um dos títulos, bem como numa perspectiva global e conjunta com modelos VAR para painéis de diferentes segmentos de mercado (mercado total, desporto, economia e negócios e informação geral).
Um dos pontos centrais da investigação prende-se com a utilização de variáveis exógenas. A incorporação destes factores revela-se particularmente importante na eliminação de efeitos e causalidades espúrias.
Ao não encontrar fortes evidências estatísticas de causalidade e de dinâmicas de longo-prazo, a investigação acaba por não partilhar o pessimismo dos que defendem a canibalização das edições impressas pelas edições digitais (ou o optimismo dos que defendem a sua complementaridade), orientando antes para a importância e relevância dos contéudos e dos seus diferentes efeitos nos dois tipos de consumo.
The media market is one of the most sensitive industries to the technological shock of digitalization.
In the case of print media, the existing research, not being consistent, point clues to the existence of positive effects (or complementary), negative (or substitution) or even neutral between digital and print consumption. Given the lack of data and research in the Portuguese market, this work is an assumedly empirical research of causal effects between digital and print consumption in the market of daily newspapers in Portugal.
In the applied-oriented research perspective, the research adopts the VAR methodology as a vehicle for the study of Granger (non-)causality. Both from an individual perspective through independent VAR models for each of the titles, as well as a general and joint approach with VAR models for panels of different market segments (total market, sports, economics and business and general information).
One of the central points of the research is related to the use of exogenous variables. The incorporation of these factors is particularly important in eliminating spurious effects and causalities.
Not finding strong statistical evidence of causality and long-term dynamics, the research does not share the pessimism of those who defend the cannibalization of printed editions by digital editions (or…
Advisors/Committee Members: Caiado, Aníbal.
Subjects/Keywords: VAR; Causalidade; Media; Imprensa; Digital; Causality; Press
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❌
APA ·
Chicago ·
MLA ·
Vancouver ·
CSE |
Export
to Zotero / EndNote / Reference
Manager
APA (6th Edition):
Santos, N. D. F. S. B. d. (2016). Efeitos do consumo digital na imprensa escrita : evidência empírica para os jornais diários portugueses. (Thesis). Technical University of Lisbon. Retrieved from https://www.rcaap.pt/detail.jsp?id=oai:www.repository.utl.pt:10400.5/13169
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):
Santos, Nuno Duarte Fialho Sanches Borges dos. “Efeitos do consumo digital na imprensa escrita : evidência empírica para os jornais diários portugueses.” 2016. Thesis, Technical University of Lisbon. Accessed February 27, 2021.
https://www.rcaap.pt/detail.jsp?id=oai:www.repository.utl.pt:10400.5/13169.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Santos, Nuno Duarte Fialho Sanches Borges dos. “Efeitos do consumo digital na imprensa escrita : evidência empírica para os jornais diários portugueses.” 2016. Web. 27 Feb 2021.
Vancouver:
Santos NDFSBd. Efeitos do consumo digital na imprensa escrita : evidência empírica para os jornais diários portugueses. [Internet] [Thesis]. Technical University of Lisbon; 2016. [cited 2021 Feb 27].
Available from: https://www.rcaap.pt/detail.jsp?id=oai:www.repository.utl.pt:10400.5/13169.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Santos NDFSBd. Efeitos do consumo digital na imprensa escrita : evidência empírica para os jornais diários portugueses. [Thesis]. Technical University of Lisbon; 2016. Available from: https://www.rcaap.pt/detail.jsp?id=oai:www.repository.utl.pt:10400.5/13169
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
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Open Access Theses and Dissertations