An introduction to ensemble-average importance sampling of Markov chains
Xi‐Ren Cao · 2002
Using a simple Markov chain as an example, the author introduces a novel single-sample-path-based estimation method, ensemble-average importance sampling (EAIS). The EAIS is shown to be much more efficient than the time-average likelihood-ratio method and has less variance. It does not resort to regenerative structure.>