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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.
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Sequential Monte Carlo Methods in Practice, A. Smith
- Language
- Released
- 2010
- product-detail.submit-box.info.binding
- (Paperback)
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- Title
- Sequential Monte Carlo Methods in Practice
- Subtitle
- Vorwort: Smith, A.
- Language
- English
- Authors
- A. Smith
- Publisher
- Springer New York
- Released
- 2010
- Format
- Paperback
- Pages
- 616
- ISBN13
- 9781441928870
- Category
- Mathematics
- Description
- 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.