Concepedia

Joint Distribution Estimation

Joint Distribution Estimation is a statistical inference method that characterizes the complete probabilistic relationship among multiple random variables by estimating their joint probability distribution from observed or synthetic data, distinguishing it from marginal or conditional distribution estimation by modeling dependencies simultaneously.

1.5K

Publications

129.9K

Citations

3.2K

Authors

1.2K

Institutions

Publications per year

2017–2026

312

Parents

Publications

1.5K

A Fast Learning Algorithm for Deep Belief Nets

Geoffrey E. Hinton, Simon Osindero, Yee‐Whye Teh · Neural Computation · 2006 · 16.4K citations

, , +16

Reversible jump Markov chain Monte Carlo computation and Bayesian model determination

Peter J. Green · Biometrika · 1995 · 5.9K citations

, , +17

The Stationary Bootstrap

Dimitris N. Politis, Joseph P. Romano · Journal of the American Statistical Association · 1994 · 2.4K citations

, , +13

The Distribution of Realized Exchange Rate Volatility

Torben G. Andersen, Tim Bollerslev, Francis X. Diebold et al. · Journal of the American Statistical Association · 2001 · 2.2K citations

, , +17

On Bayesian Analysis of Mixtures with an Unknown Number of Components (with discussion)

Sylvia Richardson, Peter J. Green · Journal of the Royal Statistical Society Series B (Statistical Methodology) · 1997 · 1.9K citations · Full text

, , +16

1–5 of 1.5K

Authors

3.2K

  1. DJ
    Dominik Janzing

    Max Planck Institute for Intelligent Systems, Germany

    7 publications · 782 citations

    7

    h-index

  2. KJ
    Kenneth J. Singleton

    Stanford University, United States

    7 publications · 4.1K citations

    7

    h-index

  3. MG
    Maia Güell

    Universitat Pompeu Fabra, Spain

    6 publications · 359 citations

    6

    h-index

  4. YB
    Yoshua Bengio

    Université de Montréal, Canada

    6 publications · 644 citations

    6

    h-index

  5. GM
    Geert Molenberghs

    Hasselt University, Belgium

    6 publications · 323 citations

    6

    h-index

1–5 of 3.2K

Institutions

1.2K

  1. University of California, Berkeley

    Berkeley, United States

    21 h-index

    42 publications

    3.6K citations

  2. Harvard University

    Cambridge, United States

    19 h-index

    41 publications

    4K citations

  3. Duke University

    Durham, United States

    18 h-index

    41 publications

    5.3K citations

  4. Johns Hopkins University

    Baltimore, United States

    17 h-index

    25 publications

    2.5K citations

  5. Stanford University

    Stanford, United States

    17 h-index

    32 publications

    4.3K citations

  6. University of Michigan

    Ann Arbor, United States

    17 h-index

    37 publications

    5K citations

  7. University of California San Diego

    San Diego, United States

    16 h-index

    24 publications

    1.2K citations

  8. Massachusetts Institute of Technology

    Cambridge, United States

    16 h-index

    40 publications

    2.2K citations

1–8 of 1.2K

Venues

  1. Journal of the American Statistical Association

    82 publications · 13.7K citations

    42

    h-index

  2. Biometrics

    40 publications · 3.6K citations

    26

    h-index

  3. arXiv (Cornell University)

    Repository · 52 publications · 2.8K citations

    26

    h-index

  4. Statistics in Medicine

    35 publications · 1.4K citations

    23

    h-index

  5. SSRN Electronic Journal

    Repository · 40 publications · 2.6K citations

    22

    h-index

1–5