Concepedia

Hierarchical Mixture Models

Hierarchical Mixture Models is a statistical modeling framework that belongs to the class of mixture models by incorporating multiple levels of random effects to account for structured variability and dependencies across nested or grouped data sources within dose-response analyses.

215

Publications

21.8K

Citations

613

Authors

366

Institutions

Publications per year

2017–2026

52

Parents

Publications

215

Variable Selection via Gibbs Sampling

Edward I. George, Robert E. McCulloch · Journal of the American Statistical Association · 1993 · 2.7K citations

, , +16

Hierarchical Mixtures of Experts and the EM Algorithm

Michael I. Jordan, Robert A. Jacobs · Neural Computation · 1994 · 2.6K citations

, , +14

Global, regional, and national trends in haemoglobin concentration and prevalence of total and severe anaemia in children and pregnant and non-pregnant women for 1995–2011: a systematic analysis of population-representative data

Gretchen A Stevens, Mariel M. Finucane, Luz Maria De‐Regil et al. · The Lancet Global Health · 2013 · 2K citations · Full text

, , +17

APPROACHES FOR BAYESIAN VARIABLE SELECTION

Edward I. George, Robert E. McCulloch · 1997 · 1.2K citations

, , +17

Modeling annotated data

David M. Blei, Michael I. Jordan · 2003 · 1.1K citations

, , +16

1–5 of 215

Authors

613

  1. SM
    Shigeyuki Matsui

    Nagoya University, Japan

    6 publications · 129 citations

    6

    h-index

  2. NB
    Nizar Bouguila

    Concordia University, Canada

    6 publications · 84 citations

    6

    h-index

  3. HN
    Hisashi Noma

    The Institute of Statistical Mathematics, Japan

    5 publications · 85 citations

    5

    h-index

  4. DB
    David B. Dunson

    Duke University, United States

    5 publications · 374 citations

    5

    h-index

  5. WF
    Wentao Fan

    Huaqiao University, China

    4 publications · 61 citations

    4

    h-index

1–5 of 613

Institutions

366

  1. University of California, Berkeley

    Berkeley, United States

    7 h-index

    12 publications

    5.5K citations

  2. Concordia University

    Montreal, Canada

    7 h-index

    10 publications

    198 citations

  3. Imperial College London

    London, United Kingdom

    6 h-index

    10 publications

    3.3K citations

  4. The Institute of Statistical Mathematics

    Tokyo, Japan

    6 h-index

    10 publications

    206 citations

  5. University of Oxford

    Oxford, United Kingdom

    6 h-index

    13 publications

    971 citations

  6. Harvard University

    Cambridge, United States

    6 h-index

    12 publications

    802 citations

  7. University of Florida

    Gainesville, United States

    5 h-index

    10 publications

    395 citations

  8. University of Cambridge

    Cambridge, United Kingdom

    5 h-index

    10 publications

    745 citations

1–8 of 366

Venues

  1. Biometrics

    13 publications · 536 citations

    13

    h-index

  2. Journal of the American Statistical Association

    9 publications · 3.7K citations

    9

    h-index

  3. Statistics in Medicine

    6 publications · 506 citations

    6

    h-index

  4. Biostatistics

    6 publications · 701 citations

    6

    h-index

  5. Computational Statistics & Data Analysis

    CSDA · 4 publications · 111 citations

    4

    h-index

1–5