Zero-inflated Distributions

Zero-Inflated Distributions is a class of probability distributions that extends standard count distributions by incorporating a mixture model structure to account for an excess number of zero observations beyond what the underlying distribution would predict.

501

Publications

49.2K

Citations

1.5K

Authors

776

Institutions

Publications per year

2017–2026

203

Authors

1.5K

  1. AH
    Andy H. Lee

    Curtin University, Australia

    6 publications · 627 citations

    6

    h-index

  2. KK
    Kelvin K.W. Yau

    City University of Hong Kong, Hong Kong SAR China

    6 publications · 627 citations

    6

    h-index

  3. MX
    Min Xie

    National University of Singapore, Singapore

    6 publications · 245 citations

    6

    h-index

  4. BN
    Brian Neelon

    Medical University of South Carolina, United States

    5 publications · 275 citations

    5

    h-index

  5. MR
    Mariana Rodrigues‐Motta

    University of Wisconsin–Madison, United States

    4 publications · 109 citations

    4

    h-index

1–5 of 1.5K

Venues

  1. Statistics in Medicine

    24 publications · 908 citations

    17

    h-index

  2. PLoS ONE

    15 publications · 480 citations

    15

    h-index

  3. Computational Statistics & Data Analysis

    CSDA · 14 publications · 1.1K citations

    12

    h-index

  4. Journal of Applied Statistics

    14 publications · 256 citations

    11

    h-index

  5. Communication in Statistics- Theory and Methods

    10 publications · 309 citations

    10

    h-index

1–5