Adaptive Bandwidth Selection

Adaptive Bandwidth Selection is a methodology in spatial density estimation that dynamically adjusts the bandwidth parameter according to local data density, distinguishing itself from fixed-bandwidth approaches by enabling more accurate density estimates in regions of varying data sparsity.

97

Publications

11.9K

Citations

195

Authors

125

Institutions

Publications per year

2017–2026

16

Authors

195

  1. SA
    Smaïl Adjabi

    University of Béjaïa, Algeria

    4 publications · 126 citations

    4

    h-index

  2. JS
    J. S. Marron

    University of North Carolina at Chapel Hill, United States

    4 publications · 420 citations

    4

    h-index

  3. NZ
    Nabil Zougab

    University of Béjaïa, Algeria

    4 publications · 126 citations

    4

    h-index

  4. CC
    Célestin C. Kokonendji

    Centre National de la Recherche Scientifique, France

    4 publications · 110 citations

    4

    h-index

  5. ML
    Martin L. Hazelton

    Massey University, New Zealand

    3 publications · 61 citations

    3

    h-index

1–5 of 195

Venues

  1. The Annals of Statistics

    10 publications · 3.5K citations

    10

    h-index

  2. Journal of the American Statistical Association

    10 publications · 1.1K citations

    10

    h-index

  3. Computational Statistics & Data Analysis

    CSDA · 7 publications · 386 citations

    7

    h-index

  4. Statistics & Probability Letters

    6 publications · 123 citations

    6

    h-index

  5. Journal of Statistical Computation and Simulation

    JSCS · 3 publications · 66 citations

    3

    h-index

1–5