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An Introduction to Sequential Monte Carlo - Springer Series in Statistics Nicolas Chopin 2020 edition
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An Introduction to Sequential Monte Carlo - Springer Series in Statistics
Nicolas Chopin
This book provides a general introduction to Sequential Monte Carlo (SMC) methods, also known as particle filters. Bayesian inference or rare-event problems), are also discussed. The book may be used either as a graduate text on Sequential Monte Carlo methods and state-space modeling, or as a general reference work on the area.
378 pages, 60 Illustrations, black and white; XXIV, 378 p. 60 illus.
| Media | Books Paperback Book (Book with soft cover and glued back) |
| Released | October 3, 2021 |
| ISBN13 | 9783030478476 |
| Publishers | Springer Nature Switzerland AG |
| Pages | 378 |
| Dimensions | 235 × 155 × 27 mm · 620 g |
| Language | German |
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