Multivariate Density Estimation

Multivariate Density Estimation is a statistical methodology that models the joint probability distribution of multiple continuous random variables to infer the underlying density structure in multidimensional space.

380

Publications

58.1K

Citations

703

Authors

410

Institutions

Publications per year

2017–2026

44

Authors

703

  1. DW
    David W. Scott

    Rice University, United States

    7 publications · 1.6K citations

    7

    h-index

  2. TD
    Tarn Duong

    Centre National de la Recherche Scientifique, France

    6 publications · 654 citations

    6

    h-index

  3. JK
    Jussi Klemelä

    University of Mannheim, Germany

    6 publications · 144 citations

    6

    h-index

  4. AO
    Alfred O. Hero

    University of Michigan, United States

    5 publications · 404 citations

    5

    h-index

  5. JA
    Jose A. Costa

    University of Michigan, United States

    4 publications · 343 citations

    4

    h-index

1–5 of 703

Venues

  1. Journal of the American Statistical Association

    28 publications · 7.3K citations

    22

    h-index

  2. The Annals of Statistics

    18 publications · 1.9K citations

    18

    h-index

  3. Journal of Multivariate Analysis

    20 publications · 1.7K citations

    17

    h-index

  4. Computational Statistics & Data Analysis

    CSDA · 15 publications · 816 citations

    13

    h-index

  5. Biometrika

    10 publications · 2.3K citations

    10

    h-index

1–5