Importance is Important: Generalized Markov Chain Importance Sampling Methods

Guanxun Li, Aaron Smith, Quan Zhou

We show that for any multiple-try Metropolis algorithm, one can always accept the proposal and evaluate the importance weight that is needed to correct for the bias without extra c…