Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 20 of 59 for “"causal models"”.
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Latent Clustered Causal Models
… the problem of learning directed graphical models in the presence of latent variables. We define latent clustered causal models as a particular restriction on directed graphical models with latent variables and corresponding clusters of observed nodes, characterized by edges between only …
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Advances in Latent Variable and Causal Models
… a framework is introduced to evaluate when two causal models are consistent with one another, meaning that a correspondence can be established between them such that reasoning about the effects of interventions in both models agree. This can be used to understand when two models of the same …
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Counterfactual policy introspection using structural causal models
… qualitative introspection and `debugging' of models and policies. In particular, we make use of counterfactual trajectories, which describe the implicit belief (of a model) of 'what would have happened' if a policy had been applied. These serve to decompose model-based estimates of reward into …
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Fault diagnosis of process plants using causal models
Thesis (Sc. D.)--Massachusetts Institute of Technology, Dept. of Chemical Engineering, 1987.
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Formalizing Causal Models Through the Semantics of Conditional Independence
Many foundational tools in causal inference are based on graphical structure and can involve complex conditions that obscure the underlying causal logic. Given the inherent complexity and subtlety of cause-and-effect phenomena, establishing formal guarantees about these tools is both challenging …
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Reasoning from experiments to causal models in molecular cell biology
Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1996.
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Causal Models of Work-Family Conflict From Family and Organizational Perspectives
… from both work and family perspectives. Two models were described and tested. One model included individual and family antecedents and consequences of work-family conflict. The antecedents included sex-role attitudes, role salience, and perfectionism in the wife. The consequences were quality …
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Applying natural language models and causal models to project management systems
… features in time-varying data in predictive models, specifically applied to the problem of software project maintenance. We attempted to integrate this natural language data into our existing predictive models for project management applications. Second, we began work on creating an …
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Minimax estimation with structured data : shape constraints, causal models, and optimal transport
… of statistics: shape-constrained estimation, causal discovery, and optimal transport. In the area of shape-constrained estimation, we study the estimation of matrices, first under the assumption of bounded total-variation (TV) and second under the assumption that the underlying matrix is …
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Examining beliefs about the causes of unemployment and poverty: An analysis of the causal models from the research literature
… discusses findings of a study of the causal models of explanations of unemployment and poverty that have been developed in the research literature. The data used to examine the models are from the 1985 Edmonton Area Study Survey, University of Alberta (N=415), and the 1980 Beliefs …
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Use of External Representations in Reasoning about Causality
… diagrams aid in deductive reasoning with formal causal models. Four studies were conducted exploring participants' ability to discover causal paths, identify causes and effects, and create alternative explanations for variable relationships. In Study 1, abstract variables of the causal model were …
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Causal Foundations for Pragmatic Data Science
… place front and center the role that scientific models play in the process of decision-making, emphasizing the importance of causal models in science, i.e., models which describe the possible effects of actions upon a system. The work contained explores central topics in this domain, including …
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Causal Programming
Causality is central to scientific inquiry. There is broad agreement on the meaning of causal statements, such as “Smoking causes cancer”, or, “Applying pesticides affects crop yields”. However, formalizing the intuition underlying such statements and conducting rigorous inference is difficult in …
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Path Analysis of Factors Affecting Student Outcomes and Continued Participation after Completing ALNU 1100 Basics of Patient Care at East Tennessee State University.
<p>The purpose of this study was to test a causal analytic model for predictors of course outcomes and a second causal model for predictors of continued participation in post-secondary education. The demographic characteristics were compared for students who continued to participate in …
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Identifiable Causal Representation Learning: Unsupervised, Multi-View, and Multi-Environment
This thesis brings together ideas from causality and representation learning. Causal models provide rich descriptions of complex systems as sets of mechanisms by which each variable is influenced by its direct causes. They support reasoning about manipulating parts of the system, capture a whole …
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Automated Social Science: Language Models as Scientist and Subjects
… possible by recent advances in large language models (LLM), but the key feature of the approach is the use of structural causal models. Structural causal models provide a language to state hypotheses, a blueprint for constructing LLM-based agents, an experimental design, and a plan for data …
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Family Victimization: An Application of Lifestyle and Routine Activity Theory
… between family violence and criminal violence. Causal models are tested using data from the 1985 National Family Violence Survey for marital violence and the 1978 Zahn and Reidel Homicide in Eight American Cities for family homicide.
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Adolescent sexual behavior and early childbearing: Empirical tests of social control and strain theories
… to explain race differences in these phenomena. Causal models are tested using panel data from the first two waves of the National Youth Survey for adolescent male and female sexual behavior, while panel data from the sophomore cohort of High School and Beyond are used to examine the factors …
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The effects of changes in recycling patterns on United Kingdom resource consumption
… for 1922 - 1948. Adaptive expectations type causal models of total, unalloyed, and alloyed copper demand are successfully constructed and are used to generate future scenarios. Evidence is demonstrated for a break in the historical link between U.K. copper demand and industrial production. …
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Machine learning and causality: Building efficient, and reliable models for decision-making
… relationships between machine learning (ML) and causal inference. We focus on improvements in each by borrowing ideas from one another. ML has been successfully applied to many problems, but the lack of strong theoretical guarantees has led to many unexpected failures. Models that perform well on …
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