Hierarchical Beta Processes

Hierarchical Beta Processes is a Bayesian nonparametric prior structure that extends the beta process by organizing multiple beta processes in a hierarchical manner to share statistical strength across groups through a common base measure.

14

Publications

1K

Citations

34

Authors

13

Institutions

Publications per year

2017–2026

0

Variants

Hierarchical Beta Process

Authors

34

  1. SV
    Svetha Venkatesh

    Deakin University, Australia

    3 publications · 56 citations

    3

    h-index

  2. DP
    Dinh Phung

    Deakin University, Australia

    3 publications · 56 citations

    3

    h-index

  3. LC
    Lawrence Carin

    Duke University, United States

    3 publications · 157 citations

    3

    h-index

  4. SG
    Sunil Gupta

    Deakin University, Australia

    3 publications · 56 citations

    3

    h-index

  5. ZL
    Zhidong Li

    Sun Yat-sen University, China

    2 publications · 88 citations

    2

    h-index

1–5 of 34

Venues

  1. Deakin Research Online (Deakin University)

    Repository · 1 publications · 25 citations

    1

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  2. Theoretical Population Biology

    TPB · 1 publications · 25 citations

    1

    h-index

  3. 1

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  4. UC Berkeley

    Repository · 1 publications · 354 citations

    1

    h-index

  5. Biometrika

    1 publications · 284 citations

    1

    h-index

1–5