A class of adaptive sampling methods is introduced for efficient posterior and predictive simulation. The proposed … between target and mixture is minimized. We label this approach Mixture of t by Importance Sampling and Expectation … MitISEM in a sequential manner, so that the candidate distribution for posterior simulation is cleverly updated when new data …

approximation can be used as a candidate density in Importance Sampling or Metropolis Hastings methods for Bayesian inference on … characterized by several types of non-elliptical posterior shapes and that describe well-known data patterns in econometrics and …