Index Catalog // ScholarsArchive@OSU

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

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

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

ScholarsArchive@OSU

A Bayesian Treatise on the Replication Crisis in Science

Bayesian inference for the Weibull distribution

Bayes-Fiducial inference from censored normal data

Density estimation using orthogonal series : a Bayesian approach

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

Analysis of Bayesian anytime inference algorithms

A Bayesian approach to marine spatial planning

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

Constraining Bayesian network learning with qualitative models

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

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