We covered Markov chains in class and after going through the details, I still have a few questions. (I encourage you to give short answers to the question, as this may become very cumbersome other...

Apr 25, 2017 · A Markov process is basically a stochastic process in which the past history of the process is irrelevant if you know the current system state. In other words, all information about the …

Dec 25, 2020 · All states of a finite irreducible Markov chain are recurrent. As irreducible Markov chains have one class, statement $1$ implies all states are either transient or recurrent.

Jan 24, 2023 · In general, stationary distributions for finite Markov chains exist if and only if the chain is irreducible, in which case the stationary distribution is unique if and only if the chain is aperiodic (this …

Oct 5, 2023 · probability probability-theory solution-verification markov-chains random-walk See similar questions with these tags.

Oct 3, 2022 · If this was the original game of Snakes and Ladders with only one die, I have seen many examples online that show you how to model this game using a Markov Chain and how to create the …

Jun 17, 2022 · I think Surb means any Markov Chain is a random walk with Markov property and an initial distribution. By "converse" he probably means given any random walk , you cannot conclude …

Oct 5, 2019 · markov chain - transient and recurrent states proof Ask Question Asked 6 years, 2 months ago Modified 6 years, 2 months ago

I am looking for a book (or online article (s)) on Markov decision processes that contains lots of worked examples or problems with solutions. The purpose of the book is to grind my teeth on some …

Feb 1, 2015 · Expected first return time of Markov Chain Ask Question Asked 10 years, 11 months ago Modified 7 years, 11 months ago