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Bayesian Computational Methods in Statistical Signal Processing

Simon John Godsill, Peter Bunch (Autoren)

Buch | Hardcover

400 Seiten

2027
Crc Press Inc (Verlag)
978-1-4665-9021-2 (ISBN)

Noch nicht erschienen (ca. August 2027)
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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.

Simon John Godsill, PH.D., is a professor of statistical signal processing in the Engineering Department at the University of Cambridge, UK. Pete Bunch is a Ph.D. student at the University of Cambridge.

Introduction. Fundamentals. Models. Deterministic inference methods. Monte Carlo methods. Sequential methods and particle filters. Emerging/advanced areas. Conclusions.

Erscheint lt. Verlag	28.8.2027
Reihe/Serie	Chapman & Hall/CRC Interdisciplinary Statistics
Zusatzinfo	100 Illustrations, black and white
Verlagsort	Bosa Roca
Sprache	englisch
Maße	156 x 234 mm
Themenwelt	Mathematik / Informatik ► Mathematik
	Technik ► Elektrotechnik / Energietechnik
	Technik ► Nachrichtentechnik
	Technik ► Umwelttechnik / Biotechnologie
ISBN-10	1-4665-9021-1 / 1466590211
ISBN-13	978-1-4665-9021-2 / 9781466590212
Zustand	Neuware