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 8 of 8 for “"Dynamic linear model."”.
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A model of the aluminum industry in the United States
… the optimal development of the industry, a time dynamic linear model was developed. The model represents the industry in the United States interacting with the raw materials supplying countries. To demonstrate the capability of the model, nine case studies were run representing nine probable …
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Topics in Bayesian adaptive clinical trial design using dynamic linear models and missing data imputation in logistic regression.
… designs usually employ a logistic regression model to analyze the efficacy of a new drug and, therefore, assumes monotone dose-response relationship. Also, the logistic regression model requires the response to be categorical and, thus, it is not applicable for continuous data. The traditional …
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Bayesian Factor Models for Clustering and Spatiotemporal Analysis
… significant analytical challenges. Factor models can offer an effective tool to address issues associated with large-scale datasets. In this dissertation, we propose two novel Bayesian factors models. These models are designed to effectively reduce the dimensionality of the data, as the …
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Methods for comparison and analysis of spatiotemporal fields
Submission published under a 24 month embargo labeled 'Closed Access', the embargo will last until 2026-08-01
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Unstable Consumer Learning Models: Structural Estimation and Experimental Examination
… It develops a new Bayesian consumer learning model, the unstable learning model. This model expands on existing models that explore learning when quality is stable, by considering when quality is changing. Further, the dissertation examines situations in which consumers may act as if quality …
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Modelling of Dynamic Computer Experiments with Both Qualitative and Quantitative Variables
… used in scientific researches and applications. Dynamic computer experiments refer to computer experiments with time-series responses. Different dynamic computer models have been proposed to emulate the relationship between the time-series responses and the corresponding quantitative factors. …
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Range-based Risk Estimation in Euro Area Countries
… market indices to analyse daily volatility dynamics and volatility spillover across four European markets. Chapter 2 is based on the joint research with Gregory Connor. We develop a dynamic linear model of expected daily range which is a variant of Chou’s conditional autoregressive range …
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Temporally Correlated Dirichlet Processes in Pollution Receptor Modeling
… those sources emit. Multivariate receptor modeling seeks to estimate pollution source profiles and pollution emissions from concentrations of pollutants such as particulate matter (PM) in the air. Previous approaches to multivariate receptor modeling make the following two key assumptions: …