Search for dissertations about: "Bayesian Bootstrap"
Showing result 1 - 5 of 14 swedish dissertations containing the words Bayesian Bootstrap.
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1. Learning local predictive accuracy for expert evaluation and forecast combination
Abstract : This thesis consists of four papers that study several topics related to expert evaluation and aggregation. Paper I explores the properties of Bayes factors. Bayes factors, which are used for Bayesian hypothesis testing as well as to aggregate models using Bayesian model averaging, are sometimes observed to behave erratically. READ MORE
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2. On the efficiency of the Bayesian bootstrap
Abstract : The efficiency of the Bayesian bootstrap is treated for large and small samples from infinite and finite populations. The Bayesian bootstrap is compared with nonparametric and parametric Bayesian methods in the infinite case, for large samples and considering the mean and truncation functionals. READ MORE
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3. Multiple Kernel Imputation : A Locally Balanced Real Donor Method
Abstract : We present an algorithm for imputation of incomplete datasets based on Bayesian exchangeability through Pólya sampling. Each (donee) unit with a missing value is imputed multiple times by observed (real) values on units from a donor pool. The donor pools are constructed using auxiliary variables. READ MORE
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4. Phylogenetic Support and Chloroplast Genome Evolution in Sileneae (Caryophyllaceae)
Abstract : Evolutionary biology is dependent on accurate phylogenies. In this thesis two branch support methods, Bayesian posterior probablities and bootstrap frequencies, were evaluated with simulated data and empirical data from the chloroplast genome. READ MORE
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5. On Estimating Topology and Divergence Times in Phylogenetics
Abstract : This PhD thesis consists of an introduction and five papers, dealing with statistical methods in phylogenetics.A phylogenetic tree describes the evolutionary relationships among species assuming that they share a common ancestor and that evolution takes place in a tree like manner. READ MORE