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  1. Properties of Markov chains - Mathematics Stack Exchange

    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 …

  2. Intuitive meaning of recurrent states in a Markov chain

    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 …

  3. property about transient and recurrent states of a Markov chain

    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.

  4. probability - How to prove that a Markov chain is transient ...

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

  5. what is the difference between a markov chain and a random walk?

    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 …

  6. reference request - What are some modern books on Markov …

    I would like to know what books people currently like in Markov Chains (with syllabus comprising discrete MC, stationary distributions, etc.), that contain many good exercises. Some such book …

  7. markov chain - transient and recurrent states proof

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

  8. probability - Understanding the "Strength" of the Markov Property ...

    Jan 13, 2024 · The strong markov property is an altogether different animal because it requires deep understanding of what a continuous time markov chain is. Yes, brownian motion is a ct …

  9. Markov process vs. markov chain vs. random process vs. stochastic ...

    Markov processes and, consequently, Markov chains are both examples of stochastic processes. Random process and stochastic process are completely interchangeable (at least in many …

  10. Proof of the Markov Property - Mathematics Stack Exchange

    Feb 8, 2023 · You cannot "prove" Markov property, unless you are given some property of your chain beforehand (Markov property is often a part of the definition of a Markov chain)