Search for dissertations about: "Graphical Models"
Showing result 6 - 10 of 99 swedish dissertations containing the words Graphical Models.
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6. Comparative network analysis of human cancer: sparse graphical models with modular constraints and sample size correction
Abstract : In the study of transcriptional data for different groups (e.g. cancer types) it's reasonable to assume that some dependencies between genes on a transcriptional or genetic variants level are common across groups. Also, that this property is preserved locally, thus defining a modular structure in the model networks. READ MORE
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7. Continuous time Graphical Models and Decomposition Sampling
Abstract : Two topics in temporal graphical probabilistic models are studied. The topics are treated in separate papers, both with applications in finance. The first paper study inference in dynamic Bayesian networks using Monte Carlo methods. A new method for sampling random variables is proposed. READ MORE
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8. Graphical representations of Ising and Potts models : Stochastic geometry of the quantum Ising model and the space-time Potts model
Abstract : HTML clipboard Statistical physics seeks to explain macroscopic properties of matter in terms of microscopic interactions. Of particular interest is the phenomenon of phase transition: the sudden changes in macroscopic properties as external conditions are varied. READ MORE
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9. Statistical modeling and design in forestry : The case of single tree models
Abstract : Forest quantification methods have evolved from a simple graphical approach to complex regression models with stochastic structural components. Currently, mixed effects models methodology is receiving attention in the forestry literature. READ MORE
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10. Network models with applications to genomic data: generalization, validation and uncertainty assessment
Abstract : The aim of this thesis is to provide a framework for the estimation and analysis of transcription networks in human cancer. The methods we develop are applied to data collected by The Cancer Genome Atlas (TCGA) and supporting simulations are based on derived models in order to reflect real data structure. READ MORE