Robust Bayesian Methods

This chapter explains how statisticians can make Bayesian inference robust against a mis-specified prior by using a mixture prior and marginalizing out the mixture parameter. The chapter shows how one of the main dangers of Bayesian analysis can be avoided. The prior should have relatively high valu... View More