Nonparametric Distribution Estimation

Nonparametric Distribution Estimation is a statistical method that belongs to the class of distribution estimation techniques and is distinguished by its reliance on minimal assumptions about the functional form of the underlying probability distribution, instead allowing the data to determine the shape of the estimated distribution.

225

Publications

22.6K

Citations

393

Authors

232

Institutions

Publications per year

2017–2026

21

Authors

393

  1. PH
    Peter Hall

    Australian National University, Australia

    8 publications · 603 citations

    8

    h-index

  2. IA
    Ibrahim A. Ahmad

    University of Central Florida, United States

    4 publications · 241 citations

    4

    h-index

  3. EJ
    Edward J. Wegman

    George Mason University, United States

    4 publications · 369 citations

    4

    h-index

  4. LG
    László Györfi

    Budapest Institute, Hungary

    4 publications · 1.7K citations

    4

    h-index

  5. AC
    Anne Chao

    National Tsing Hua University, Taiwan

    3 publications · 5.9K citations

    3

    h-index

1–5 of 393

Venues

  1. The Annals of Statistics

    22 publications · 2.2K citations

    19

    h-index

  2. Journal of the American Statistical Association

    17 publications · 4.2K citations

    15

    h-index

  3. 10

    h-index

  4. Biometrika

    10 publications · 550 citations

    10

    h-index

  5. Computational Statistics & Data Analysis

    CSDA · 9 publications · 240 citations

    9

    h-index

1–5