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Article
Bayes One-Sample and One-Way Random Effects Analyses for 3-D Orientations with Application to Materials Science
Bayesian Analysis
Document Type
Article
Disciplines
Publication Version
Published Version
Publication Date
1-1-2009
DOI
10.1214/09-BA423
Abstract
We consider Bayes inference for a class of distributions on orientations in 3 dimensions described by 3×3 rotation matrices. Non-informative priors are identified and Metropolis-Hastings within Gibbs algorithms are used to generate samples from posterior distributions in one-sample and one-way random effects models. A simulation study investigates the performance of Bayes analyses based on non-informative priors in the one-sample case, making comparisons to quasi-likelihood inference. A second simulation study investigates the behavior of posteriors for some informative priors. Bayes one-way random effect analyses of orientation matrix data are then developed and the Bayes methods are illustrated in a materials science application.
Copyright Owner
International Society for Bayesian Analysis
Copyright Date
2009
Language
en
File Format
application/pdf
Citation Information
Melissa Ann Bingham, Stephen B. Vardeman and Daniel J. Nordman. "Bayes One-Sample and One-Way Random Effects Analyses for 3-D Orientations with Application to Materials Science" Bayesian Analysis Vol. 4 Iss. 3 (2009) p. 607 - 630 Available at: http://works.bepress.com/stephen_vardeman/3/
This article is from Bayesian Analysis 4 (2009): 607, doi: 10.1214/09-BA423. Posted with permission.