A common concern with Bayesian methodology in scientific contexts is that inferences can
be heavily influenced by subjective biases. As presented here, there are two types of bias for …

The problem of combining the evidence concerning an unknown, contained in each of $ k $
Bayesian inference bases, is discussed. This can be considered as a generalization of the …

There are various approaches to the problem of how one is supposed to conduct a statistical
analysis. Different analyses can lead to contradictory conclusions in some problems so this …

In high-dimensional regression models, variable selection becomes challenging from a
computational and theoretical perspective. Bayesian regularized regression via shrinkage …