Bayesian Count Estimation

Bayesian Count Estimation is a statistical inference method that belongs to the class of Bayesian estimation techniques and is distinguished by its use of prior probability distributions to update the uncertainty about an unknown count parameter based on observed data through Bayes' theorem.

34

Publications

2.5K

Citations

93

Authors

57

Institutions

Publications per year

2017–2026

10

Authors

93

  1. ZM
    Zhiheng Ma

    Xi'an Jiaotong University, China

    2 publications · 646 citations

    2

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  2. XH
    Xiaopeng Hong

    Xi'an Jiaotong University, China

    2 publications · 646 citations

    2

    h-index

  3. GA
    Gary A. Davis

    University of Minnesota, United States

    2 publications · 45 citations

    2

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  4. CT
    Claudia Tebaldi

    NSF National Center for Atmospheric Research, United States

    2 publications · 428 citations

    2

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  5. XW
    Xing Wei

    Xi'an Jiaotong University, China

    2 publications · 646 citations

    2

    h-index

1–5 of 93

Venues

  1. PLoS ONE

    2 publications · 77 citations

    2

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  2. 2

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  3. 2

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  4. 2

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  5. Electoral Studies

    1 publications · 18 citations

    1

    h-index

1–5