Multivariate Kernel Density Estimation

Multivariate Kernel Density Estimation is a nonparametric density estimation method that extends univariate kernel density estimation by employing a multivariate kernel function to estimate the joint probability density function of multiple continuous random variables from a sample of multidimensional data.

223

Publications

16.4K

Citations

580

Authors

331

Institutions

Publications per year

2017–2026

63

Variants

Multivariate Kde

Authors

580

  1. TD
    Tarn Duong

    Centre National de la Recherche Scientifique, France

    8 publications · 1.3K citations

    8

    h-index

  2. XZ
    Xibin Zhang

    Monash University, Australia

    5 publications · 314 citations

    5

    h-index

  3. MA
    Muhammad Ahsan

    Sepuluh Nopember Institute of Technology, Indonesia

    4 publications · 128 citations

    4

    h-index

  4. ML
    Maxwell L. King

    Monash University, Australia

    4 publications · 284 citations

    4

    h-index

  5. MM
    Muhammad Mashuri

    Sepuluh Nopember Institute of Technology, Indonesia

    4 publications · 128 citations

    4

    h-index

1–5 of 580

Venues

  1. Computational Statistics & Data Analysis

    CSDA · 9 publications · 665 citations

    9

    h-index

  2. Journal of nonparametric statistics

    8 publications · 247 citations

    8

    h-index

  3. 5

    h-index

  4. Journal of Multivariate Analysis

    5 publications · 394 citations

    5

    h-index

  5. The Annals of Statistics

    4 publications · 539 citations

    4

    h-index

1–5