So many there are. Starting with basic Probability, this lecture series is a good first intro. https://www.dartmouth.edu/~chance/teaching_aids/books_articles/p

So many there are. Starting with basic Probability, this lecture series is a good first intro. https://www.dartmouth.edu/~chance/teaching_aids/books_articles/probability_book/Chapter11.pdf https://www.dartmouth.edu/~chance/teaching_aids/books_articl... Or starting from the basics, and learning how to actually do the number crunching, this is unusually good (Stewart, Introduction to numerical solution of Markov Chains): https://press.princeton.edu/titles/5640.html https://press.princeton.edu/titles/5640.html Robert Gallager's MIT lecture series, very well presented, titled Principles of Digital Communications, takes you on another train based on Markov Chains (Kalman filters, etc). https://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-450-principles-of-digital-communications-i-fall-2006/ https://ocw.mit.edu/courses/electrical-engineering-and-compu...