Directional Kernel Density Estimation

Directional Kernel Density Estimation is a variant of kernel density estimation that employs directional kernels to model probability densities over spherical or circular domains, thereby accounting for the inherent curvature and periodicity of directional data.

8

Publications

399

Citations

22

Authors

9

Institutions

Publications per year

2017–2026

3

Variants

Directional Kde

Authors

22

  1. EG
    Eduardo García‐Portugués

    Universidade de Santiago de Compostela, Spain

    2 publications · 140 citations

    2

    h-index

  2. TM
    Thanh Mai Pham Ngoc

    Laboratoire de Mathématiques d'Orsay, France

    1 publications · 13 citations

    1

    h-index

  3. NU
    Nurünnisa Usul

    Middle East Technical University, Türkiye

    1 publications · 28 citations

    1

    h-index

  4. YC
    Yen‐Chi Chen

    University of Washington, United States

    1 publications · 12 citations

    1

    h-index

  5. AP
    Arturo Pardo

    Universidad de Cantabria, Spain

    1 publications · 29 citations

    1

    h-index

1–5 of 22

Venues

  1. Journal of Multivariate Analysis

    3 publications · 202 citations

    3

    h-index

  2. Electronic Journal of Statistics

    1 publications · 60 citations

    1

    h-index

  3. IEEE Transactions on Medical Imaging

    1 publications · 29 citations

    1

    h-index

  4. Geoheritage

    1 publications · 68 citations

    1

    h-index

  5. arXiv (Cornell University)

    Repository · 1 publications · 12 citations

    1

    h-index

1–5