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Filtering by: Subject Bayesian statistical decision theory Remove constraint Subject: Bayesian statistical decision theory Non-Academic Affiliation Oregon State University. Graduate School Remove constraint Non-Academic Affiliation: Oregon State University. Graduate School

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  • Bayesian inference for the Weibull distribution

    Creator:
    Bogdanoff, David Allen
    Abstract:
    Bayesian inferential methods for the two parameter Weibull (and extreme-value distribution) are presented in a life-testing context. A practical method of calculating posterior distributions of the two parameters and a large class of functions of the parameters is presented. The emphasis is for the situation where the sample information is...
    Resource Type:
    Dissertation
    Full Text:
    confidence limits given by the Bayesian method, as is known from the general theory of Bayesian procedures

  • Bayes-Fiducial inference from censored normal data

    Creator:
    Wille, Jerald Robert
    Resource Type:
    Dissertation
    Full Text:
    Statement of the Problem 1 Methods of Estimation 3 II. UNDERLYING THEORY AND CHOICE OF PRIOR DISTRIBUTION

  • Density estimation using orthogonal series : a Bayesian approach

    Creator:
    Pointer, Patrick C.
    Resource Type:
    Dissertation
    Full Text:
    USING ORTHOGONAL SERIES -A BAYESIAN APPROACH Redacted for Privacy Abstract approved: Dr. H. D. Brunk

  • Nonparametric estimation of univariate and mixing densities : a Bayesian Least Squares approach

    Creator:
    Shih, John I.
    Resource Type:
    Dissertation
    Full Text:
    Densities--A Bayesian Least Squares Approach AN ABSTRACT OF THE THESIS OF JOHN I SHIN for the degree of

  • Optimal inference with local expressions

    Creator:
    Borujerdi, Mohammad
    Abstract:
    Probabilistic inference using Bayesian networks is now a well-established approach for reasoning under uncertainty. Among many e ciency-driven tech- niques which have been developed, the Optimal Factoring Problem (OFP) is distinguished for presenting a combinatorial optimization point of view on the problem. The contribution of this thesis is to extend...
    Resource Type:
    Dissertation
    Full Text:
    Bayesian networks as a combinatorial optimization problem. Parallel to value sets algebra theory local

  • Analysis of Bayesian anytime inference algorithms

    Creator:
    Burgess, Scott Alan
    Abstract:
    This dissertation explores and analyzes the performance of several Bayesian anytime inference algorithms for dynamic influence diagrams. These algorithms are compared on the On-Line Maintenance Agent testbed, a software artifact permitting comparison of dynamic reasoning algorithms used by an agent on a variety of simulated maintenance and monitoring tasks. Analysis...
    Resource Type:
    Dissertation
    Full Text:
    specific probability queries in Bayesian networks, algorithms for answering decision queries in influence

  • A Bayesian approach to marine spatial planning

    Creator:
    Erhardt, Morgan William
    Abstract:
    The marine ecosystem provides a broad spectrum of services for a wide array of user groups. Such broad use of marine resources often results in use conflicts between ecosystem elements and human interests. To help mitigate these conflicts, the Bayesian Analysis for Spatial Siting (BASS) tool was developed to incorporate...
    Resource Type:
    Masters Thesis
    Full Text:
    example of decision processes using the BASS system. 2.1.1 Bayesian Belief Networks in Ecosystem

  • Constraining Bayesian network learning with qualitative models

    Creator:
    Altendorf, Eric E.
    Abstract:
    Machine learning encompasses probabilistic and statistical techniques that can build models from large quantities of extensional information (examples) with minimal dependence on intensional information (domain knowledge). This focus of machine learning is reflected in the never-ending quest for "off-the-shelf" classifiers. To generalize to unseen data, however, we must make use...
    Resource Type:
    Masters Thesis
    Full Text:
    qualitative statements impose on a statistical model, in par- ticular, Bayesian networks. We will also

  • 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

  • Dependent evidence in reasoning with uncertainty

    Creator:
    Ling, Xiaoning
    Abstract:
    The problem of handling dependent evidence is an important practical issue for applications of reasoning with uncertainty in artificial intelligence. The existing solutions to the problem are not satisfactory because of their ad hoc nature, complexities, or limitations. In this dissertation, we develop a general framework that can be used...
    Resource Type:
    Dissertation
    Full Text:
    for Theory of Evidence 19 3.2.2. Statistical Dependence Parameters for Odds-likelihood-ratios 21 3.3