Bayesian Hypothesis Testing in Latent Variable Models

• Main Authors: LI, Yong, YU, Jun
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2011
• Subjects: Bayes factors; Kullback-Leibler divergence; Decision theory; EM Algorithm; Markov Chain Monte Carlo.; Econometrics
• Online Access: https://ink.library.smu.edu.sg/soe_research/1303; https://ink.library.smu.edu.sg/context/soe_research/article/2302/viewcontent/BTS0711_2011.pdf
• Institution: Singapore Management University

Hypothesis testing using Bayes factors (BFs) is known not to be well defined under the improper prior. In the context of latent variable models, an additional problem with BFs is that they are difficult to compute. In this paper, a new Bayesian method, based on decision theory and the EM algorithm,...