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APPLICATIONS OF LIKELIHOOD RATIO ORDER IN BAYESIAN INFERENCES

Published online by Cambridge University Press:  06 August 2018

Kai Huang and
Jie Mi
Kai Huang
Affiliation:
Department of Mathematics and Statistics, Florida International University, Miami, FL 33199, USA E-mail: khuang@fiu.edu; mi@fiu.edu
Jie Mi
Affiliation:
Department of Mathematics and Statistics, Florida International University, Miami, FL 33199, USA E-mail: khuang@fiu.edu; mi@fiu.edu
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Abstract

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The present paper studies the likelihood ratio order of posterior distributions of parameter when the same order exists between the corresponding prior of the parameter, or when the observed values of the sufficient statistic for the parameter differ. The established likelihood order allows one to compare the Bayesian estimators associated with many common and general error loss functions analytically. It can also enable one to compare the Bayes factor in hypothesis testing without using numerical computation. Moreover, using the likelihood ratio (LR) order of the posterior distributions can yield the LR order between marginal predictive distributions, and posterior predictive distributions.

Keywords

bayesian estimatorsbayes factorlikelihood ratio orderpredictive distributionprior distributionposterior distribution

Information

Type
Research Article
Information
Probability in the Engineering and Informational Sciences , Volume 34 , Issue 1 , January 2020, pp. 1 - 13
Copyright
Copyright © Cambridge University Press 2018 

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