Journal article
Order-invariant prior specification in Bayesian factor analysis
Dennis Leung, Mathias Drton
STATISTICS & PROBABILITY LETTERS | ELSEVIER | Published : 2016
Abstract
Using lower triangular loading matrices in Bayesian factor analysis ensures identifiability but may lead to inferences that depend on how the considered variables are ordered. We show how a standard approach to prior specification can be modified to avoid order-dependence.
Grants
Awarded by U.S. National Science Foundation
Awarded by Division Of Mathematical Sciences; Direct For Mathematical & Physical Scien
Funding Acknowledgements
This work was supported by the U.S. National Science Foundation (DMS-1305154) and by the University of Washington Royalty Research Fund.