Index Catalog // ScholarsArchive@OSU

Informative g-Priors for Logistic Regression

Creator:: Hanson, Timothy E., Branscum, Adam J., and Johnson, Wesley O.
Abstract:: Eliciting information from experts for use in constructing prior distributions for logistic regression coefficients can be challenging. The task is especially difficult when the model contains many predictor variables, because the expert is asked to provide summary information about the probability of “success” for many subgroups of the population. Often,...
Resource Type:: Article
Full Text:: ). Informative g-Priors for Logistic Regression. Bayesian Analysis, 9(3), 597-612. doi:10.1214/14-BA868 10.1214

Balancing goods and bads: A Bayesian analysis of fishery regulatory decisions

Creator:: Sweeney, Jonathan
Abstract:: This paper examines the regulatory decision problem facing fishery managers tasked with balancing desirable fish catch with undesirable bycatch. I approach the problem using Bayesian decision analysis. I first estimate a model of production, accounting for the fishery’s joint production of desirable and undesirable outputs. I then use the estimated...
Resource Type:: Presentation
Full Text:: industry. Bayesian decision analysis • A framework to help make decisions under uncertainty. • List

Douglas-fir hydraulic architecture and relationships among xylem properties at multiple scales via a Bayesian analysis

Creator:: Dunham, Sonya M.
Abstract:: This study investigated variation in xylem anatomy, hydraulic properties, and the relationship between anatomy and properties within Douglas-fir trees at multiple scales. The hierarchical scales in the study included fertilization treatments (fertilized and unfertilized), trees within the treatments, and positions within the trees. Tracheid diameter, tracheid length, percent latewood, number...
Resource Type:: Masters Thesis
Full Text:: Scales via a Bayesian Analysis Abstract approved: Lisa M. Ganio Barbara L. Gartner

Douglas-fir hydraulic architecture and relationships among xylem properties at multiple scales via a Bayesian analysis

Creator:: Dunham, Sonya M.
Abstract:: This study investigated variation in xylem anatomy, hydraulic properties, and the relationship between anatomy and properties within Douglas-fir trees at multiple scales. The hierarchical scales in the study included fertilization treatments (fertilized and unfertilized), trees within the treatments, and positions within the trees. Tracheid diameter, tracheid length, percent latewood, number...
Resource Type:: Masters Thesis
Full Text:: Bayesian Analysis Abstract approved: Signature redacted for privacy. v/ Lisa M. Varno Barbara L

A Bayesian analysis for economic design of single sampling plans for a sequence of lots

Creator:: Taracena, Fernando L.
Abstract:: A dynamic approach to the Bayesian theory of sampling inspection by attributes for the single sampling case is presented. A model is developed which assumes a sequence of lots of equal known size and lots generated by a process operating in a random manner. The model also assumes constant associated...
Resource Type:: Dissertation
Full Text:: A Bayesian analysis for economic design of single sampling

Bayesian parentage analysis with systematic accountability of genotyping error, missing data, and false matching

Creator:: Christie, Mark R., Tennessen, Jacob A., and Blouin, Michael S.
Abstract:: Motivation: The goal of any parentage analysis is to identify as many parent-offspring relationships as possible, while minimizing incorrect assignments. Existing methods can achieve these ends, but require additional information in the form of demographic data, thousands of markers, and/or estimates of genotyping error rates. For many non-model systems, it...
Resource Type:: Article
Full Text:: Genetics and population analysis Bayesian parentage analysis with systematic accountability of

Bayesian regression with autoregressive priors

Creator:: Haff, Leonard Ray
Resource Type:: Dissertation
Full Text:: . However, in a full Bayesian analysis (a-1) L4(P) cc P exP(-P/P)1 (P)(0, 00) is probably the first prior

A Bayesian approach to two-phase regression

Creator:: Daly, James C.
Abstract:: A Bayesian approach to the analysis of a two-phase linear regression model is given. It is assumed that the regression model is continuous at the change point. The likelihood function is expressed in a form which explicitly contains the continuity restriction. The natural conjugate prior distribution for the likelihood function...
Resource Type:: Dissertation
Full Text:: approved: Redacted for privacy Donald Guthrie A Bayesian approach to the analysis of a two-phase linear

Multivariate density estimation : a Bayesian approach

Creator:: Sexton, Gary Joe
Resource Type:: Dissertation
Full Text:: ) (Date) Title: MULTIVARIATE DENSITY ESTIMATION--A BAYESIAN APPROACH Redacted for privacy Abstract

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:: degree of Doctor of Philosophy in Computer Science presented on August 31, 2001. Title: Analysis of

ScholarsArchive@OSU

Informative g-Priors for Logistic Regression

Balancing goods and bads: A Bayesian analysis of fishery regulatory decisions

Douglas-fir hydraulic architecture and relationships among xylem properties at multiple scales via a Bayesian analysis

Douglas-fir hydraulic architecture and relationships among xylem properties at multiple scales via a Bayesian analysis

A Bayesian analysis for economic design of single sampling plans for a sequence of lots

Bayesian parentage analysis with systematic accountability of genotyping error, missing data, and false matching

Bayesian regression with autoregressive priors

A Bayesian approach to two-phase regression

Multivariate density estimation : a Bayesian approach

Analysis of Bayesian anytime inference algorithms

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