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Filtering by: Subject Bayesian statistical decision theory Remove constraint Subject: Bayesian statistical decision theory Academic Affiliation Statistics Remove constraint Academic Affiliation: Statistics Degree Level Doctoral Remove constraint Degree Level: Doctoral

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  • Uses of Bayesian posterior modes in solving complex estimation problems in statistics

    Creator:
    Lin, Lie-fen
    Abstract:
    In Bayesian analysis, means are commonly used to summarize Bayesian posterior distributions. Problems with a large number of parameters often require numerical integrations over many dimensions to obtain means. In this dissertation, posterior modes with respect to appropriate measures are used to summarize Bayesian posterior distributions, using the Newton-Raphson method...
    Resource Type:
    Dissertation
    Full Text:
    Uses of Bayesian posterior modes in solving complex