Mixing Times

Mixing Time is a metric in the theory of Markov chains that quantifies the time required for the chain's state distribution to converge to its stationary distribution within a specified tolerance, distinguishing it from other convergence measures by focusing on the rate of approach to equilibrium.

271

Publications

12.4K

Citations

1.5K

Authors

352

Institutions

Publications per year

2017–2026

60

Variants

Mixing Time

Authors

1.5K

  1. YP
    Yuval Peres

    Microsoft (United States), United States

    10 publications · 343 citations

    10

    h-index

  2. CG
    Catherine Greenhill

    UNSW Sydney, Australia

    5 publications · 103 citations

    5

    h-index

  3. EV
    Eric Vigoda

    Georgia Institute of Technology, United States

    5 publications · 163 citations

    5

    h-index

  4. AS
    Alistair Sinclair

    University of California, Berkeley, United States

    5 publications · 897 citations

    5

    h-index

  5. JJ
    Jeffrey J. Hunter

    University of Auckland, New Zealand

    4 publications · 214 citations

    4

    h-index

1–5 of 1.5K

Venues

  1. arXiv (Cornell University)

    Repository · 11 publications · 174 citations

    10

    h-index

  2. Electronic Journal of Probability

    EJP · 10 publications · 473 citations

    10

    h-index

  3. Industrial & Engineering Chemistry Research

    10 publications · 434 citations

    9

    h-index

  4. The Annals of Applied Probability

    9 publications · 447 citations

    9

    h-index

  5. Chemical Engineering & Technology

    7 publications · 149 citations

    7

    h-index

1–5