Density Derivative Estimation

Density Derivative Estimation is a statistical methodology within nonparametric density estimation that specifically targets the estimation of derivatives of a probability density function, distinguishing itself by characterizing the rate of change of density rather than the density itself, typically using kernel-based or local polynomial techniques.

95

Publications

5.4K

Citations

142

Authors

93

Institutions

Publications per year

2017–2026

10

Authors

142

  1. RS
    R. S. Singh

    University of Guelph, Canada

    6 publications · 197 citations

    6

    h-index

  2. MC
    M. C. Jones

    The Open University, United Kingdom

    5 publications · 457 citations

    5

    h-index

  3. TD
    Tarn Duong

    Centre National de la Recherche Scientifique, France

    4 publications · 261 citations

    4

    h-index

  4. JE
    José E. Chacón

    Universidad de Extremadura, Spain

    3 publications · 240 citations

    3

    h-index

  5. JE
    Joachim Engel

    Ludwigsburg University of Education, Germany

    3 publications · 112 citations

    3

    h-index

1–5 of 142

Venues

  1. The Annals of Statistics

    10 publications · 795 citations

    10

    h-index

  2. 5

    h-index

  3. Journal of Multivariate Analysis

    5 publications · 157 citations

    5

    h-index

  4. 4

    h-index

  5. Statistics & Probability Letters

    4 publications · 507 citations

    4

    h-index

1–5