| Bayesian Computational Methods in Statistical Signal Processing Contributor(s): Godsill, Simon John (Author), Bunch, Peter (Author) |
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ISBN: 1466590211 ISBN-13: 9781466590212 Publisher: CRC Press OUR PRICE: $85.45 Product Type: Hardcover Published: August 2025 This item may be ordered no more than 25 days prior to its publication date of August 31, 2025 |
| Additional Information |
| BISAC Categories: - Computers | Machine Theory - Mathematics | Probability & Statistics - General - Technology & Engineering | Electrical |
| Series: Chapman & Hall/CRC Interdisciplinary Statistics |
| Physical Information: 400 pages |
| Descriptions, Reviews, Etc. |
| Publisher Description: The importance of Bayesian signal processing methods have grown over the past decade. A wealth of Bayesian tools are available for solving highly complex inference problems, including particle filters, Markov chain Monte Carlo, and variational Bayes. These methods can be utilized to solve some of the area's major challenges, from state and parameter estimation to decision/control. This book provides full coverage of the background material, including models, inference methods and case studies/examples in an accessible but not overly mathematical style. |