ABSTRACT

Applied Stochastic Processes presents a concise, graduate-level treatment of the subject, emphasizing applications and practical computation. It also establishes the complete mathematical theory in an accessible way. After reviewing basic probability, the text covers Poisson processes, renewal processes, discrete- and continuous-time Markov chains,

chapter 1|28 pages

Probability and stochastic processes

chapter 2|18 pages

Poisson processes

chapter 3|40 pages

Renewal processes

chapter 4|36 pages

Discrete time Markov chains

chapter 5|42 pages

Continuous time Markov chain

chapter 6|30 pages

Brownian motion and beyond