Stochastic Analysis for Gaussian Random Processes and Fields

Discover the intricate world of stochastic analysis with Stochastic Analysis for Gaussian Random Processes and Fields by Taylor & Francis Ltd. Published in 2020, this insightful monograph spans 201 pages and delves into the deep analytic properties that link probabilistic concepts. The authors expertly utilize Hilbert space methods to explore Gaussian random fields through the lens of reproducing kernel Hilbert spaces (RKHSs). Readers will gain a comprehensive understanding of how covariances relate to RKHSs, along with an examination of Bayes’ formula and the associated filtering and analytic problems. This book is an essential resource for researchers and practitioners looking to deepen their knowledge of stochastic processes and their applications in various fields. Enhance your expertise and expand your library with this vital addition!