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  • A Bayesian Treatise on the Replication Crisis in Science

    Creator:
    Gibson, True E.
    Abstract:
    Over the past decade, it has come to light that many published scientific findings cannot be reproduced. This has led to the replication crisis in science. Many researchers feel that they can no longer trust much of what they read in scientific journals, and the public is becoming ever more...
    Resource Type:
    Honors College Thesis
    Full Text:
    community ought to invoke a Bayesian framework of statistical inference which integrates both successful

  • 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

  • Combining probabilistic socio-economic and biological information by Bayesian networks - fisheries and environmental experiences

    Creator:
    Uusitalo, Laura, Mäntyniemi, Samu, and Haapasaari, Päivi
    Abstract:
    In this paper, we review our experiences in combining cross disciplinary, probabilistic information by Bayesian networks. They seem to be potential tools in combining the optimization orientated economic modeling tradition to the somewhat different traditions of sociological sciences and further to the empirically orientated biological approaches. Calculus is based on...
    Resource Type:
    Other
    Full Text:
    socio-economic and biological information by Bayesian networks - fisheries and environmental

  • 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