This book investigates the theory of large deviations for stochastic processes. Authored by Jin Feng, a researcher in probability and statistics, this work delves into the mathematical framework for understanding rare events in stochastic systems. It builds upon existing theories of large deviations, extending them to a broader class of stochastic processes and providing rigorous proofs and detailed analyses. The book is intended for advanced students and researchers in probability, statistics, and related fields who require a deep understanding of the asymptotic behavior of random phenomena.

The book is recognized as a significant contribution to the field of large deviations for stochastic processes. Its rigorous mathematical treatment and comprehensive coverage make it a valuable resource for specialists. The work is noted for its depth and the clarity with which complex theoretical concepts are presented, solidifying its place as a key reference for researchers in probability theory and its applications.