Principles of Nonlinear Filtering Theory

Discover the cutting-edge insights in "Principles of Nonlinear Filtering Theory" by Xiuqiong Chen, published by Springer International Publishing AG in 2024. This comprehensive hardback edition spans 470 pages, making it an essential resource for researchers and practitioners alike. The book delves into advanced numerical algorithms designed to tackle complex filtering problems, including the innovative Yau-Yau algorithm, direct methods, and classical techniques such as the particle filter. Moreover, it examines the intersection of filtering theory with deep learning, providing readers with a modern perspective on the subject. Enhance your understanding of nonlinear filtering and its applications in today’s data-driven world with this authoritative guide.