Bayes and empirical Bayes methods for reduced rank regression models in matched case-control studies

Empirical Bayes Density Regression

In Bayesian hierarchical modeling, it is often appealing to allow the conditional density of an (observable or unobservable) random variable Y to change flexibly with categorical and continuous predictors X. A mixture of regression models is proposed, with the mixture distribution varying with X. Treating the smoothing parameters and number of mixture components as unknown, the MLE does not exi...

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

Empirical Bayes Ranking Methods

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statistical inference via empirical bayes approach for stationary and dynamic contingency tables

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