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 “"Bayes methods"”.
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Empirical Bayes methods in time series analysis
… from experiment to experiment, the Empirical Bayes method often leads to estimators which have smaller mean squared errors than the classical estimators. Suppose there is an unobservable random variable θ, where θ ~ G(θ), usually called a prior distribution. The Bayes estimator of θ cannot be …
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Hierarchical modelling of multivariate survival data
… and Oakes (1986, 1989). Both approximate Bayesian and maximum likelihood estimation in these models is investigated via simulation. Predicting a component of a response vector on the basis of other components of the response and other vectors is also studied, using Bayes and empirical …
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Bayesian methods in music modelling
… thesis presents several hierarchical generative Bayesian models of musical signals designed to improve the accuracy of existing multiple pitch detection systems and other musical signal processing applications whilst remaining feasible for real-time computation. At the lowest level the signal is …
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Topics on the estimation of small probabilities
… probabilities and closely resembles the Pseudo-Bayes methods of Good, Fienberg, and Holland in which Dirichlet priors are assumed. Methods for calculating the ML/E estimates for varying circumstances including multidimensional tables are presented. Comparisons with other estimation methods are …
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Unobserved heterogeneity in economic models: testing and estimation
… shown to dramatically improve upon earlier EM methods for computation of these estimators, and new results on the large sample behavior of likelihood ratios involving such estimators yield a tractable form of asymptotic inference. The computation efficiency also allows the use of a bootstrap …
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Development and application of a framework for technology and model selection under uncertainty
… gain are examined. Existing model selection methods, including Information Criteria Methods and Hypothesis Testing are analyzed, with an emphasis on how they address issues surrounding uncertainty in models. Bayes' methods are investigated in detail because they offer a mathematically sound …
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Essays on health and healthcare economics
… States. The second chapter focuses on empirical methods for obtaining causal estimates of treatment effects with an application to healthcare settings. In the first chapter I study geographic variation in health care utilization under two different insurance systems: traditional Medicare and …
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ReGen: Optimizing Genetic Selection Algorithms for Heterogeneous Computing
<p>GenSel is a genetic selection analysis tool used to determine which genetic markers are informational for a given trait. Performing genetic selection related analyses is a time consuming and computationally expensive task. Due to an expected increase in the number of genotyped individuals, …