Large Deviation Principles

Large Deviation Principles is a mathematical framework in probability theory that characterizes the exponential decay rates of probabilities of rare events for sequences of random variables, distinguishing itself by providing a rigorous asymptotic analysis of deviations far from typical behavior.

806

Publications

41.2K

Citations

974

Authors

539

Institutions

Publications per year

2017–2026

123

Authors

974

  1. PD
    Paul Dupuis

    Brown University, United States

    12 publications · 1.3K citations

    12

    h-index

  2. AA
    A. A. Mogulskiĭ

    Sobolev Institute of Mathematics, Russia

    10 publications · 315 citations

    10

    h-index

  3. SR
    S. R. S. Varadhan

    Courant Institute of Mathematical Sciences, United States

    10 publications · 643 citations

    10

    h-index

  4. TZ
    Tusheng Zhang

    University of Manchester, United Kingdom

    11 publications · 647 citations

    10

    h-index

  5. AA
    Anatolii A. Puhalskii

    Institute for Information Transmission Problems, Russia

    11 publications · 440 citations

    10

    h-index

1–5 of 974

Venues

  1. The Annals of Probability

    49 publications · 2.8K citations

    31

    h-index

  2. Stochastic Processes and their Applications

    36 publications · 1.5K citations

    23

    h-index

  3. Probability Theory and Related Fields

    33 publications · 1.8K citations

    23

    h-index

  4. Journal of Statistical Physics

    28 publications · 1.3K citations

    19

    h-index

  5. The Annals of Applied Probability

    24 publications · 1.1K citations

    18

    h-index

1–5