Explore the expanded 2nd edition of ‘Markov Chains: Gibbs Fields, Monte Carlo Simulation and Queues’. This comprehensive textbook, ideal for self-study, builds from elementary Markov chain theory to advanced topics. With a thorough review of probability and appendices on calculus, algebra, and number theory, it’s fully self-contained. Dive into discrete and continuous time Markov chains, finite Gibbs fields, Monte Carlo simulation, queuing theory, and more. The new edition features Propp-Wilson exact sampling, electrical network analogies, mixing times, and branching process details. Enhanced with shared numbering, titled examples, and highlighted terms, this is an essential, up-to-date resource for students and researchers in operations research, engineering, physics, and biology. Discover the power of stochastic processes with this accessible guide from The Bookish Owl.