Absorbing Markov Chains

Absorbing Markov Chains is a type of Markov chain characterized by the presence of at least one absorbing state, from which the probability of transitioning to any other state is zero, and in which every transient state has a nonzero probability of eventually reaching an absorbing state.

175

Publications

9.1K

Citations

334

Authors

185

Institutions

Publications per year

2017–2026

27

Authors

334

  1. ES
    E. Seneta

    The University of Sydney, Australia

    9 publications · 1.1K citations

    9

    h-index

  2. AG
    Anthony G. Pakes

    The University of Western Australia, Australia

    6 publications · 154 citations

    6

    h-index

  3. PK
    P. K. Pollett

    The University of Queensland, Australia

    5 publications · 109 citations

    5

    h-index

  4. JN
    J. N. Darroch

    Flinders University, Australia

    4 publications · 712 citations

    4

    h-index

  5. JA
    Jorge A. Sefair

    Universidad de Los Andes, Colombia

    3 publications · 132 citations

    3

    h-index

1–5 of 334

Venues

  1. Journal of Applied Probability

    JAP · 15 publications · 1.3K citations

    12

    h-index

  2. Advances in Applied Probability

    AAP · 6 publications · 150 citations

    6

    h-index

  3. The Annals of Probability

    5 publications · 481 citations

    5

    h-index

  4. The Annals of Mathematical Statistics

    4 publications · 164 citations

    4

    h-index

  5. Journal of Industrial Ecology

    4 publications · 112 citations

    4

    h-index

1–5