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Filtering by: Subject Bayesian statistical decision theory Remove constraint Subject: Bayesian statistical decision theory Degree Level Doctoral Remove constraint Degree Level: Doctoral Subject Graphical modeling (Statistics) Remove constraint Subject: Graphical modeling (Statistics)

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  • Spatial graphical models with discrete and continuous components

    Creator:
    Che, Xuan
    Abstract:
    Graphical models use Markov properties to establish associations among dependent variables. To estimate spatial correlation and other parameters in graphical models, the conditional independences and joint probability distribution of the graph need to be specified. We can rely on Gaussian multivariate models to derive the joint distribution when all the...
    Resource Type:
    Dissertation
    Full Text:
    incorporate some kind of spatial statistical models in their toolbox. Associations between variables and