Articulate the primary interpretations of probability theory and the role these interpretations play in Bayesian inference Use Bayesian inference to solve real-world statistics and data science ...

Uncertainty in specification of the prior distribution is a common concern with Bayesian analysis. The robust Bayesian approach is to work with a class of prior distributions, which model uncertainty ...

Some of you may have come across a growing number of publications in your field using an alternative paradigm called Bayesian statistics in which to perform their statistical analyses. The goal of ...

The Annals of Statistics Vol. 34, No. 2, Apr., 2006 Shrinkage Priors for Bayesian Prediction This is the metadata section. Skip to content viewer section. We investigate shrinkage priors for ...