Bandwidth Matrix Estimation

Bandwidth Matrix Estimation is a statistical methodology within nonparametric density estimation that determines the optimal smoothing matrix to govern the scale and orientation of the kernel function in multivariate Kernel Density Estimation, balancing bias and variance in the density approximation.

21

Publications

1.1K

Citations

39

Authors

32

Institutions

Publications per year

2017–2026

3

Authors

39

  1. TD
    Tarn Duong

    Centre National de la Recherche Scientifique, France

    5 publications · 667 citations

    5

    h-index

  2. JE
    José E. Chacón

    Universidad de Extremadura, Spain

    4 publications · 336 citations

    4

    h-index

  3. CC
    Célestin C. Kokonendji

    Centre National de la Recherche Scientifique, France

    3 publications · 95 citations

    3

    h-index

  4. NZ
    Nabil Zougab

    University of Béjaïa, Algeria

    2 publications · 80 citations

    2

    h-index

  5. RJ
    Rob J. Hyndman

    Monash University, Australia

    2 publications · 40 citations

    2

    h-index

1–5 of 39

Venues

  1. Computational Statistics & Data Analysis

    CSDA · 2 publications · 87 citations

    2

    h-index

  2. Statistica Sinica

    1 publications · 145 citations

    1

    h-index

  3. Wireless Personal Communications

    1 publications · 60 citations

    1

    h-index

  4. Wildlife Research

    1 publications · 39 citations

    1

    h-index

  5. 1

    h-index

1–5