Bayesian Filtering and Smoothing

Discover the second edition of Bayesian Filtering and Smoothing by Simo Särkkä, published by Cambridge University Press in 2023. This comprehensive guide spans 430 pages and serves as an essential resource for graduate students and advanced undergraduates looking to deepen their understanding of Bayesian methods.

This revised edition presents a clear and accessible introduction to the latest filtering and smoothing techniques within a unified Bayesian framework. It covers all the key concepts and ideas, making complex topics easier to grasp. With numerous examples and exercises throughout, readers can effectively apply the theory to practical scenarios, enhancing their learning experience.

Whether you're studying mathematics or seeking to expand your knowledge in this field, Simo Särkkä's Bayesian Filtering and Smoothing is a must-have addition to your library.