Bernstein Inequality

Bernstein Inequality is a probability inequality that bounds the deviation of a sum of independent, centered random variables from its mean by incorporating both variance and boundedness information, thereby providing sharper exponential concentration guarantees than inequalities relying solely on variance.

764

Publications

31.8K

Citations

1.1K

Authors

585

Institutions

Publications per year

2017–2026

132

Variants

Bernstein's Inequality

Authors

1.1K

  1. SG
    Sorin G. Gal

    University of Oradea, Romania

    9 publications · 221 citations

    9

    h-index

  2. TE
    Tamás Erdélyi

    Texas A&M University, United States

    9 publications · 207 citations

    9

    h-index

  3. ZD
    Z. Ditzian

    University of Alberta, Canada

    8 publications · 350 citations

    8

    h-index

  4. DS
    D. S. Lubinsky

    University of the Witwatersrand, South Africa

    8 publications · 203 citations

    8

    h-index

  5. PB
    Peter Borwein

    Simon Fraser University, Canada

    7 publications · 183 citations

    7

    h-index

1–5 of 1.1K

Venues

  1. Journal of Approximation Theory

    67 publications · 2.3K citations

    29

    h-index

  2. 19

    h-index

  3. Applied Mathematics and Computation

    25 publications · 1.2K citations

    18

    h-index

  4. arXiv (Cornell University)

    Repository · 32 publications · 519 citations

    14

    h-index

  5. Constructive Approximation

    17 publications · 609 citations

    13

    h-index

1–5