Title: Regression analysis of hierarchical Poisson-like event rate data
Description: This paper studies prediction of future failure (rates) by hierarchical empirical Bayes (EB)      Poisson regression methodologies. Both a gamma distributed super-population as well as a      more robust (long-tailed) log student- t super-population are considered. Simulation results      are reported concerning predicted Poisson rates. The results tentatively suggest that a      hierarchical model with gamma super-population can effectively adapt to data coming from a      log-Student-t-super-population particularly if the additional computation involved with      estimation for the log-Student-t hierarchical model is burdensome.
Subjects: BAYES THEOREM