Adaptive Kernel Density Estimation

Adaptive Kernel Density Estimation is a variant of kernel density estimation that employs a spatially varying bandwidth, adjusting the smoothing parameter locally according to the underlying data density, thereby improving estimation accuracy in regions of varying sample sparsity or concentration.

187

Publications

19.8K

Citations

495

Authors

290

Institutions

Publications per year

2017–2026

48

Variants

Variable Bandwidth Kernel Density Estimation

Authors

495

  1. DW
    David W. Scott

    Rice University, United States

    6 publications · 1.3K citations

    6

    h-index

  2. TM
    Tilman M. Davies

    University of Otago, New Zealand

    4 publications · 174 citations

    4

    h-index

  3. ML
    Martin L. Hazelton

    Massey University, New Zealand

    4 publications · 184 citations

    4

    h-index

  4. PR
    Peter Reinartz

    Deutsches Zentrum für Luft- und Raumfahrt e. V. (DLR), Germany

    3 publications · 44 citations

    3

    h-index

  5. SR
    Stephan R. Sain

    NSF National Center for Atmospheric Research, United States

    3 publications · 186 citations

    3

    h-index

1–5 of 495

Venues

  1. The Annals of Statistics

    8 publications · 3.6K citations

    8

    h-index

  2. 7

    h-index

  3. International Journal of Health Geographics

    5 publications · 258 citations

    5

    h-index

  4. Journal of Computational and Graphical Statistics

    JCGS · 4 publications · 223 citations

    4

    h-index

  5. 3

    h-index

1–5