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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.
| Mediji | Grāmatas Paperback Book (Grāmata ar mīksto vāku un līmēto muguru) |
| Izlaists | 2021. gada 3. oktobris |
| ISBN13 | 9783030478476 |
| Izdevēji | Springer Nature Switzerland AG |
| Lapas | 378 |
| Izmēri | 235 × 155 × 27 mm · 620 g |
| Valoda | Vācu |
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