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Filtering by: Subject Bayesian statistical decision theory Remove constraint Subject: Bayesian statistical decision theory Degree Field Electrical and Computer Engineering Remove constraint Degree Field: Electrical and Computer Engineering Resource Type Masters Thesis Remove constraint Resource Type: Masters Thesis

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  • Parameter estimation of Gaussian hierarchical model using Gibbs sampling

    Creator:
    Mbuthia, Juliana
    Abstract:
    Gibbs sampling method is an important tool used in parameter estimation for many probabilistic models. Specifically, for many scenarios, it is difficult to generate high-dimensional data samples from its joint distribution. The Gibbs sampling provides a way to draw high-dimensional data via the conditional distributions which are typically easier to...
    Resource Type:
    Masters Thesis
    Full Text:
    probability, Bayesian analysis, graph theory and inference algorithms [10]. Will explain some of the details