Concepedia

Cross-validation For Density Estimation

Cross-Validation for Density Estimation is a model selection technique that belongs to the class of resampling methods, specifically designed to assess the performance of density estimators by partitioning the data into training and validation subsets to minimize estimation error without relying on a separate test set.

66

Publications

8.8K

Citations

108

Authors

78

Institutions

Publications per year

2017–2026

6

Parents

Publications

66

An Asymptotic Equivalence of Choice of Model by Cross-Validation and Akaike's Criterion

M. Stone · Journal of the Royal Statistical Society Series B (Statistical Methodology) · 1977 · 1.3K citations

, , +14

A Brief Survey of Bandwidth Selection for Density Estimation

M. C. Jones, J. S. Marron, Simon J. Sheather · Journal of the American Statistical Association · 1996 · 1.2K citations

, , +13

An alternative method of cross-validation for the smoothing of density estimates

Adrian Bowman · Biometrika · 1984 · 904 citations

, , +16

Direct Importance Estimation with Model Selection and Its Application to Covariate Shift Adaptation

Masashi Sugiyama, Shinichi Nakajima, Hisashi Kashima et al. · 2007 · 669 citations

, , +17

Cross-Validation and the Estimation of Conditional Probability Densities

Peter Hall, Jeffrey S. Racine, Qi Li · Journal of the American Statistical Association · 2004 · 497 citations · Full text

, , +16

1–5 of 66

Authors

108

  1. PH
    Peter Hall

    Australian National University, Australia

    8 publications · 906 citations

    8

    h-index

  2. MJ
    Mark J. van der Laan

    University of California, Berkeley, United States

    5 publications · 223 citations

    5

    h-index

  3. JS
    J. S. Marron

    University of North Carolina at Chapel Hill, United States

    5 publications · 1.9K citations

    5

    h-index

  4. AB
    Adrian Bowman

    University of Glasgow, United Kingdom

    3 publications · 1.1K citations

    3

    h-index

  5. JS
    J. S. Marron

    University of North Carolina at Chapel Hill, United States

    3 publications · 197 citations

    3

    h-index

1–5 of 108

Institutions

78

  1. Australian National University

    Canberra, Australia

    8 h-index

    10 publications

    2K citations

  2. University of North Carolina at Chapel Hill

    Chapel Hill, United States

    5 h-index

    5 publications

    1.8K citations

  3. University of California, Berkeley

    Berkeley, United States

    4 h-index

    13 publications

    621 citations

  4. UNSW Sydney

    Sydney, Australia

    3 h-index

    3 publications

    1.6K citations

  5. University of Bonn

    Bonn, Germany

    3 h-index

    5 publications

    313 citations

  6. University of Manchester

    Manchester, United Kingdom

    3 h-index

    3 publications

    1.1K citations

  7. Korea University

    Seoul, South Korea

    2 h-index

    2 publications

    162 citations

  8. Tokyo Institute of Technology

    Tokyo, Japan

    2 h-index

    2 publications

    685 citations

1–8 of 78

Venues

  1. Journal of the American Statistical Association

    10 publications · 2.6K citations

    10

    h-index

  2. Biometrika

    7 publications · 1.4K citations

    7

    h-index

  3. The Annals of Statistics

    7 publications · 1K citations

    7

    h-index

  4. 4

    h-index

  5. Journal of Multivariate Analysis

    2 publications · 73 citations

    2

    h-index

1–5