The successful implementation of Bayesian shrinkage analysis of high-dimensional regression models, as often encountered in quantitative trait locus (QTL) mapping, is contingent upon the choice of ...
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 ...
https://doi.org/10.1111/j.1468-2508.2005.00342.x https://www.jstor.org/stable/10.1111/j.1468-2508.2005.00342.x We explain how to use elicited priors in Bayesian ...
A common misconception about Bayesian statistics is that it mainly involves incorporating personal prior beliefs or subjective opinions. While priors do play a role, the core strength of Bayesian ...