Parametric Density Estimation

Parametric Density Estimation is a density estimation method that assumes a fixed functional form for the probability density function, characterized by a finite number of parameters, and estimates these parameters from the data to model the underlying distribution.

137

Publications

10.4K

Citations

277

Authors

167

Institutions

Publications per year

2017–2026

14

Authors

277

  1. JS
    J. S. Marron

    University of North Carolina at Chapel Hill, United States

    6 publications · 677 citations

    6

    h-index

  2. NL
    Nils Lid Hjort

    University of Oslo, Norway

    4 publications · 675 citations

    4

    h-index

  3. QY
    Qiwei Yao

    London School of Economics and Political Science, United Kingdom

    3 publications · 188 citations

    3

    h-index

  4. DR
    David Ruppert

    Cornell University, United States

    3 publications · 602 citations

    3

    h-index

  5. IK
    Ingrid K. Glad

    University of Oslo, Norway

    2 publications · 336 citations

    2

    h-index

1–5 of 277

Venues

  1. Journal of the American Statistical Association

    14 publications · 966 citations

    13

    h-index

  2. The Annals of Statistics

    11 publications · 2.2K citations

    11

    h-index

  3. Journal of nonparametric statistics

    8 publications · 236 citations

    8

    h-index

  4. Journal of Statistical Computation and Simulation

    JSCS · 4 publications · 186 citations

    4

    h-index

  5. arXiv (Cornell University)

    Repository · 4 publications · 81 citations

    4

    h-index

1–5