Variable Bandwidth Estimation

Variable Bandwidth Estimation is a kernel density estimation method that employs a spatially adaptive bandwidth, distinguishing itself from fixed bandwidth methods by allowing the smoothing parameter to vary according to the local density or position of data points.

61

Publications

5.6K

Citations

127

Authors

79

Institutions

Publications per year

2017–2026

4

Variants

Adaptive Bandwidth Estimation

Authors

127

  1. DW
    David W. Scott

    Rice University, United States

    3 publications · 1.1K citations

    3

    h-index

  2. NZ
    Nabil Zougab

    University of Béjaïa, Algeria

    3 publications · 59 citations

    3

    h-index

  3. BJ
    Ben Jann

    Max Planck Institute of Immunobiology and Epigenetics, Germany

    2 publications · 25 citations

    2

    h-index

  4. EM
    Enno Mammen

    Heidelberg University, Germany

    2 publications · 302 citations

    2

    h-index

  5. MY
    Murali Yeddanapudi

    University of Connecticut, United States

    2 publications · 125 citations

    2

    h-index

1–5 of 127

Venues

  1. The Annals of Statistics

    9 publications · 2.8K citations

    9

    h-index

  2. Statistics & Probability Letters

    6 publications · 126 citations

    6

    h-index

  3. 2

    h-index

  4. Computer Communications

    2 publications · 87 citations

    2

    h-index

  5. Biometrika

    2 publications · 160 citations

    2

    h-index

1–5