Semiparametric Bayesian multiple comparisons for Poisson Populations
Jang Sik Cho, Dal Ho Kim, Sang Gil Kang · Communications for Statistical Applications and Methods · 2001
In this paper, we consider the nonparametric Bayesian approach to the multiple comparisons problem for I Poisson populations using Dirichlet process priors. We describe Gibbs sampling algorithm for calculating posterior probabilities for the hypotheses and calculate posterior probabilities for the hypotheses using Markov chain Monte Carlo. Also we provide a numerical example to illustrate the developed numerical technique.