Large Deviation Inequalities

Large Deviation Inequalities is a class of probabilistic bounds that quantify the exponential decay rate of the probability of rare events in which a random variable deviates significantly from its expected value, distinguishing them from standard concentration inequalities by focusing on the asymptotic behavior of tail probabilities for large sample sizes.

840

Publications

49.5K

Citations

1K

Authors

542

Institutions

Publications per year

2017–2026

92

Authors

1K

  1. OZ
    Ofer Zeitouni

    Technion – Israel Institute of Technology, Israel

    11 publications · 4.2K citations

    11

    h-index

  2. SR
    S. R. S. Varadhan

    Courant Institute of Mathematical Sciences, United States

    10 publications · 750 citations

    10

    h-index

  3. AA
    A. A. Mogulskiĭ

    Sobolev Institute of Mathematics, Russia

    9 publications · 214 citations

    10

    h-index

  4. QS
    Qi-Man Shao

    University of Oregon, United States

    8 publications · 562 citations

    8

    h-index

  5. PD
    Paul Dupuis

    Brown University, United States

    7 publications · 429 citations

    7

    h-index

1–5 of 1K

Venues

  1. The Annals of Probability

    80 publications · 5K citations

    38

    h-index

  2. Theory of Probability and Its Applications

    44 publications · 2.1K citations

    23

    h-index

  3. Probability Theory and Related Fields

    29 publications · 1.6K citations

    22

    h-index

  4. Statistics & Probability Letters

    35 publications · 1.2K citations

    19

    h-index

  5. Stochastic Processes and their Applications

    22 publications · 1.1K citations

    18

    h-index

1–5