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.

University of Melbourne Researchers

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.