Robert E. Kass

Numerical Methods for Unconstrained Optimization and Nonlinear Equations.

A default conjugate prior for variance components in generalized linear mixed models (comment on article by Browne and Draper)

For a scalar random-effect variance, Browne and Draper (2005) have found that the\nuniform prior works well. It would be valuable to know more about the vector case, in\nwhich a...

Bayes Factors

Abstract In a 1935 paper and in his book Theory of Probability, Jeffreys developed a methodology for quantifying the evidence in favor of a scientific theory. The centerpiece wa...

Approximate Bayesian Inference in Conditionally Independent Hierarchical Models (Parametric Empirical Bayes Models)

Abstract We consider two-stage models of the kind used in parametric empirical Bayes (PEB) methodology, calling them conditionally independent hierarchical models. We suppose th...