During the past decade, shrinkage priors have received much attention in Bayesian analysis of high-dimensional data. This paper establishes posterior consistency for linear regression with a class priors, which has heavy and flat tail allocates sufficiently large probability mass very small neighborhood zero. While enjoying its efficiency simulations, prior can lead to nearly optimal contractio...
