Distribution Testing

Distribution Testing is a subfield of sublinear algorithms that studies the design and analysis of algorithms for determining properties of probability distributions using a number of samples sublinear in the size of the domain.

51

Publications

6.6K

Citations

106

Authors

68

Institutions

Publications per year

2017–2026

12

Variants

Property Testing Of Distributions

Authors

106

  1. CL
    Clément L. Canonne

    Columbia University, United States

    7 publications · 216 citations

    7

    h-index

  2. ID
    Ilias Diakonikolas

    Columbia University, United States

    4 publications · 230 citations

    4

    h-index

  3. WK
    W.H. Kersting

    New Mexico State University, United States

    3 publications · 2.6K citations

    3

    h-index

  4. GV
    Gregory Valiant

    Stanford University, United States

    2 publications · 194 citations

    2

    h-index

  5. LK
    Leo Knüsel

    Ludwig-Maximilians-Universität München, Germany

    2 publications · 136 citations

    2

    h-index

1–5 of 106

Venues

  1. 3

    h-index

  2. arXiv (Cornell University)

    Repository · 3 publications · 239 citations

    3

    h-index

  3. Computational Statistics & Data Analysis

    CSDA · 3 publications · 197 citations

    3

    h-index

  4. Packaging Technology and Science

    2 publications · 32 citations

    2

    h-index

  5. Economics Letters

    2 publications · 84 citations

    2

    h-index

1–5