Large Deviations for Markov Chains

Discover the intricate world of probability with Large Deviations for Markov Chains by Alejandro D. de Acosta, published by Cambridge University Press in 2022. This insightful hardback edition spans 230 pages and delves into the probability of rare events that deviate from the typical long-run behavior of empirical measures and vector-valued additive functionals within general state space Markov chains, as outlined by the ergodic theorem.

This book is an essential resource for researchers and practitioners in the fields of probability theory, statistical mechanics, and statistics. With its rigorous approach, Large Deviations for Markov Chains provides a comprehensive understanding of complex probabilistic concepts, making it a valuable addition to any academic library or personal collection. Enhance your knowledge and explore the depths of Markov chains today!