Bayesian estimation and tracking a practical guide /
"This book presents a practical approach to estimation methods that are designed to provide a clear path to programming all algorithms. Readers are provided with a firm understanding of Bayesian estimation methods and their interrelatedness. Starting with fundamental principles of Bayesian theo...
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| Главный автор: | |
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| Формат: | Электронный ресурс eКнига |
| Язык: | английский |
| Опубликовано: |
Hoboken, N.J. :
Wiley,
2012.
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| Предметы: | |
| Online-ссылка: | An electronic book accessible through the World Wide Web; click to view |
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Оглавление:
- pt. 1. Preliminaries
- pt. 2. The Gaussian assumption : a family of Kalman filter estimators
- pt. 3. Monte Carlo methods
- pt. 4. Additional case studies.