Elements of Applied Stochastic Processes

Preface. Stochastic Processes: Description and Definition. Markov chains. Irreducible Markov Chains with Ergodic States. Branching Processes and Other Special Topics. Statistical Inference for Markov Chains. Applied Markov Chains. Simple Markov Processes. Statistical Inference for Simple Markov Processes. Applied Markov Processes. Renewal Processes. Stationary Processes and Time Series Analysis. Simulation and Markov Chain Monte Carlo. Answers to Selected Exercises. Appendix. Author Index. Subject Index.