Stationary Distributions

Stationary Distributions is a probability distribution over the state space of a Markov chain that remains unchanged over time, such that if the chain starts in this distribution, it persists in the same distribution at all subsequent time steps.

1K

Publications

89.7K

Citations

1.6K

Authors

834

Institutions

Publications per year

2017–2026

142

Variants

Steady-state Distributions

Authors

1.6K

  1. ES
    E. Seneta

    The University of Sydney, Australia

    18 publications · 1.4K citations

    14

    h-index

  2. PK
    P. K. Pollett

    The University of Queensland, Australia

    11 publications · 488 citations

    11

    h-index

  3. EA
    Erik A. van Doorn

    University of Twente, Netherlands

    11 publications · 606 citations

    11

    h-index

  4. RL
    Richard L. Tweedie

    Colorado State University, United States

    9 publications · 433 citations

    9

    h-index

  5. MF
    Marcel F. Neuts

    University of Arizona, United States

    9 publications · 434 citations

    9

    h-index

1–5 of 1.6K

Venues

  1. Journal of Applied Probability

    JAP · 91 publications · 3.7K citations

    33

    h-index

  2. Advances in Applied Probability

    AAP · 69 publications · 2.8K citations

    29

    h-index

  3. The Annals of Applied Probability

    28 publications · 3K citations

    23

    h-index

  4. The Annals of Probability

    20 publications · 1.4K citations

    17

    h-index

  5. Physical Review E

    PRE · 19 publications · 1.3K citations

    16

    h-index

1–5