Empirical Uncertain Bayes Methods in Area‐level Models

Empirical Bayes Ranking Methods

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Empirical Bayes Estimation in Nonstationary Markov chains

Estimation procedures for nonstationary Markov chains appear to be relatively sparse. This work introduces empirical  Bayes estimators  for the transition probability  matrix of a finite nonstationary  Markov chain. The data are assumed to be of  a panel study type in which each data set consists of a sequence of observations on N>=2 independent and identically dis...

Semi-Bayes and empirical Bayes adjustment methods for multiple comparisons.

Epidemiological studies often involve multiple comparisons, and may therefore report many "false positive" statistically significant findings simply because of the large number of statistical tests involved. Traditional methods ofadjustment for multiple comparisons, such as the Bonferroni method, may induce investigators to ignore potentially important findings, because they do not take account...

Bayes and Empirical Bayes Methods for Data Analysis

Parametric Empirical Bayes Methods for Microarray Data