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 7 of 7 for “"Dynamic linear models"”.
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Topics in Bayesian adaptive clinical trial design using dynamic linear models and missing data imputation in logistic regression.
… Bayesian design that uses a bivariate normal dynamic linear model for a Phase II clinical trial, and we compare its performance to a Bayesian fixed or non-adaptive design. The proposed Bayesian adaptive design can be utilized for continuous data and can model various dose-response …
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Efficient Estimation of Stochastic Parameters: A GLS Approach
… precision of time-varying parameter estimates in dynamic linear models. Through rigorous simulations, the rolling GLS model exhibits enhanced accuracy in scenarios with smaller sample sizes and maintains its efficacy when the normality assumption is relaxed, distinguishing it from traditional …
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Forecasting value-weighted real returns of TSE portfolios using dividend yields
… in mind we consider using the methods of Dynamic Linear Models as discussed in West and Harrison [13], which allow the model parameters to be time varying. We conclude that for the majority of the portfolios, the two methods agree, however, the regression DLM approach does slightly better …
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The role of polls for election forecasting in German state elections
… this work - forecasting is made with aggregate models depending on short term polling data. Irregular polling data have to be customized to generate daily data to apply parametric regression based models. To forecast single vote shares in multi-party elections, the range of methods varies from …
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Dynamic models for time-varying outcomes: An application to the 2015-2017 patient cohort on antiretroviral therapy at Luderitz hospital, Namibia
… for data missingness and measurement error using dynamic models, with application to a cohort of 154 adult patients initiated on ART between January 2015 and December 2017 at the Luderitz hospital. The outcome variable of this study was viral load which was measured at scheduled follow-up visits …
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The application of Bayesian adaptive design and Markov model in clinical trials
… alter the course of the trial, thereby enabling dynamic allocation to different dosing groups and dropping of ineffective dosing group earlier. In this research, Bayesian adaptive method is used as a new and useful approach that applies to phase IB and phase II dose-finding clinical trials to …
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Bayesian Analysis of Temporal and Spatio-temporal Multivariate Environmental Data
… There is great need to computationally feasible models that account for temporal, spatial, and inter-variables dependence. Our research focuses on those areas in two ways. First, we investigate connections between changes in tornado risk and the increase in atmospheric instability over Oklahoma. …