Anisotropic Kernel Estimation

Anisotropic Kernel Estimation is a kernel density estimation method in which the smoothing kernel employs a multidimensional bandwidth matrix that varies across data points to account for direction-dependent (anisotropic) density variations, thereby distinguishing it from isotropic approaches that use uniform, direction-invariant bandwidths.

6

Publications

361

Citations

26

Authors

15

Institutions

Publications per year

2017–2026

3

Authors

26

  1. EB
    E. Bruce Pitman

    University at Buffalo, State University of New York, United States

    1 publications · 34 citations

    1

    h-index

  2. JY
    Jinhua Yu

    Fudan University, China

    1 publications · 73 citations

    1

    h-index

  3. IP
    Iris Pigeot

    Leibniz Institute for Prevention Research and Epidemiology - BIPS, Germany

    1 publications · 21 citations

    1

    h-index

  4. WX
    Weiwei Xie

    Princeton University, United States

    1 publications · 21 citations

    1

    h-index

  5. KE
    Karen Egiazarian

    1 publications · 50 citations

    1

    h-index

1–5 of 26

Venues

  1. Statistics in Volcanology

    SIV · 1 publications · 34 citations

    1

    h-index

  2. International Journal of Health Geographics

    1 publications · 21 citations

    1

    h-index

  3. Pattern Recognition Letters

    1 publications · 73 citations

    1

    h-index

  4. Engineering Structures

    1 publications · 21 citations

    1

    h-index

  5. Optics and Lasers in Engineering

    1 publications · 14 citations

1–5