Countable-state Markov Chains

Countable-State Markov Chains is a stochastic process that evolves on a countable state space with the Markov property, distinguishing it from finite or uncountable-state Markov processes by the cardinality and structure of its state set.

258

Publications

14K

Citations

302

Authors

204

Institutions

Publications per year

2017–2026

11

Variants

Countable Markov Chains

Authors

302

  1. RL
    Richard L. Tweedie

    Colorado State University, United States

    7 publications · 511 citations

    7

    h-index

  2. DG
    David G. Kendall

    University of Cambridge, United Kingdom

    6 publications · 209 citations

    6

    h-index

  3. FM
    Farrukh Mukhamedov

    International Islamic University Malaysia, Malaysia

    6 publications · 122 citations

    6

    h-index

  4. AS
    Adam Shwartz

    Technion – Israel Institute of Technology, Israel

    4 publications · 146 citations

    4

    h-index

  5. MY
    Michiko Yuri

    Sapporo University, Japan

    4 publications · 110 citations

    4

    h-index

1–5 of 302

Venues

  1. The Annals of Mathematical Statistics

    19 publications · 3.4K citations

    14

    h-index

  2. Journal of Applied Probability

    JAP · 13 publications · 342 citations

    11

    h-index

  3. Advances in Applied Probability

    AAP · 10 publications · 1K citations

    10

    h-index

  4. The Annals of Probability

    8 publications · 577 citations

    8

    h-index

  5. Stochastic Processes and their Applications

    8 publications · 211 citations

    8

    h-index

1–5