Journal or Book Title
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.
International Society for Bayesian Analysis
Bingham, Melissa Ann; Vardeman, Stephen B.; and Nordman, Daniel J., "Bayes One-Sample and One-Way Random Effects Analyses for 3-D Orientations with Application to Materials Science" (2009). Industrial and Manufacturing Systems Engineering Publications. 46.