Jul 23, 2010 · 7 Markov chains, especially hidden Markov models are hugely important in computation linguistics. A hidden Markov model is one where we can't directly view the state, …

Jun 6, 2025 · In a Markov process, a null recurrent state is returned to, but just not often enough for the return to be classified as periodic with any finite period. (eg. returning, on average once …

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.

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 …

Oct 5, 2023 · How to prove that a Markov chain is transient? Ask Question Asked 2 years, 2 months ago Modified 2 years, 2 months ago

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 …

6 Tim's characterization of states in terms of closed sets is correct for finite state space Markov chains. Partition the state space into communicating classes. Every recurrent class is closed, …

A simple game of snakes and ladders is played on a board of nine squares. At each turn a player tosses a fair coin and advances one or two places according to whether the coin lands heads …

According to Wikipeda: A Markov chain is a memoryless, random process. A Markov process is a stochastic process, which exhibits the Markov property. The Markov property is the …

Apr 11, 2013 · Prove Markov Chain by definition Ask Question Asked 12 years, 8 months ago Modified 12 years, 8 months ago