A Sandwich Likelihood Correction for Bayesian Quantile Regression based on the Misspecified Asymmetric Laplace Density

摘要

A sandwich likelihood correction is proposed to remedy an inferentiallimitation of the Bayesian quantile regression approach based on themisspecified asymmetric Laplace density, by leveraging the benefits of theapproach. Supporting theoretical results and simulations are presented.