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Více o knize
Innovative Monte Carlo methods are transforming online data analysis across various fields, such as finance, tracking, and computer vision. The book provides a thorough exploration of these techniques, including convergence results and practical applications in areas like automated target recognition, robot navigation, and dynamic Bayesian networks. Aimed at readers with a basic understanding of probability, it serves as a valuable resource for students, researchers, and practitioners. Authored by experts in Bayesian statistics and Monte Carlo methods, it combines theoretical insights with real-world applications.
Nákup knihy
Sequential Monte Carlo Methods in Practice, A. Smith
- Jazyk
- Rok vydání
- 2010
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Doručení
Platební metody
Navrhnout úpravu
- Titul
- Sequential Monte Carlo Methods in Practice
- Podtitul
- Vorwort: Smith, A.
- Jazyk
- anglicky
- Autoři
- A. Smith
- Vydavatel
- Springer New York
- Rok vydání
- 2010
- Vazba
- měkká
- Počet stran
- 616
- ISBN13
- 9781441928870
- Kategorie
- Matematika
- Anotace
- Innovative Monte Carlo methods are transforming online data analysis across various fields, such as finance, tracking, and computer vision. The book provides a thorough exploration of these techniques, including convergence results and practical applications in areas like automated target recognition, robot navigation, and dynamic Bayesian networks. Aimed at readers with a basic understanding of probability, it serves as a valuable resource for students, researchers, and practitioners. Authored by experts in Bayesian statistics and Monte Carlo methods, it combines theoretical insights with real-world applications.