Importance sampling: A review
Publication
, Journal Article
Tokdar, ST; Kass, RE
Published in: Wiley Interdisciplinary Reviews: Computational Statistics
2010
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 ofMarkov chain sampling. © 2009 John Wiley & Sons, Inc.
Duke Scholars
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Published In
Wiley Interdisciplinary Reviews: Computational Statistics
DOI
ISSN
1939-5108
Publication Date
2010
Volume
2
Issue
1
Start / End Page
54 / 60
Related Subject Headings
- 4905 Statistics
- 4605 Data management and data science
- 0802 Computation Theory and Mathematics
- 0104 Statistics
- 0102 Applied Mathematics
Citation
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Tokdar, S. T., & Kass, R. E. (2010). Importance sampling: A review. Wiley Interdisciplinary Reviews: Computational Statistics, 2(1), 54–60. https://doi.org/10.1002/wics.56
Tokdar, S. T., and R. E. Kass. “Importance sampling: A review.” Wiley Interdisciplinary Reviews: Computational Statistics 2, no. 1 (2010): 54–60. https://doi.org/10.1002/wics.56.
Tokdar ST, Kass RE. Importance sampling: A review. Wiley Interdisciplinary Reviews: Computational Statistics. 2010;2(1):54–60.
Tokdar, S. T., and R. E. Kass. “Importance sampling: A review.” Wiley Interdisciplinary Reviews: Computational Statistics, vol. 2, no. 1, 2010, pp. 54–60. Scival, doi:10.1002/wics.56.
Tokdar ST, Kass RE. Importance sampling: A review. Wiley Interdisciplinary Reviews: Computational Statistics. 2010;2(1):54–60.
Published In
Wiley Interdisciplinary Reviews: Computational Statistics
DOI
ISSN
1939-5108
Publication Date
2010
Volume
2
Issue
1
Start / End Page
54 / 60
Related Subject Headings
- 4905 Statistics
- 4605 Data management and data science
- 0802 Computation Theory and Mathematics
- 0104 Statistics
- 0102 Applied Mathematics