Journal
WILEY INTERDISCIPLINARY REVIEWS-COMPUTATIONAL STATISTICS
Volume 2, Issue 1, Pages 54-60Publisher
WILEY
DOI: 10.1002/wics.56
Keywords
importance sampling; Monte Carlo approximation; sequential sampling; resampling; Markov chain sampling
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We provide a short overview of importance sampling-a popular sampling tool used for Monte Carlo computing. We discuss its mathematical foundation and properties that determine its accuracy in Monte Carlo approximations. We review the fundamental developments in designing efficient importance sampling (IS) for practical use. This includes parametric approximation with optimization-based adaptation, sequential sampling with dynamic adaptation through resampling and population-based approaches that make use of Markov chain sampling. (C) 2009 John Wiley & Sons, Inc.
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