Pitman-yor Process

The Pitman-Yor Process is a stochastic process in Bayesian nonparametrics that generalizes the Dirichlet process by introducing an additional discount parameter to control the power-law behavior of cluster sizes, thereby allowing more flexible modeling of heavy-tailed distributions.

87

Publications

3.7K

Citations

172

Authors

114

Institutions

Publications per year

2017–2026

16

Authors

172

  1. YW
    Yee Whye Teh

    University of Oxford, United Kingdom

    6 publications · 753 citations

    6

    h-index

  2. FW
    Frank Wood

    University of Oxford, United Kingdom

    5 publications · 191 citations

    5

    h-index

  3. PB
    Phil Blunsom

    University of Oxford, United Kingdom

    4 publications · 179 citations

    4

    h-index

  4. TT
    Tadahiro Taniguchi

    Ritsumeikan University, Japan

    3 publications · 99 citations

    3

    h-index

  5. AL
    Antonio Lijoi

    University of Pavia, Italy

    3 publications · 215 citations

    3

    h-index

1–5 of 172

Venues

  1. 6

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  2. arXiv (Cornell University)

    Repository · 5 publications · 146 citations

    5

    h-index

  3. Statistics & Probability Letters

    3 publications · 57 citations

    3

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  4. Biometrika

    2 publications · 57 citations

    2

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  5. Electronic Communications in Probability

    ECP · 2 publications · 22 citations

    2

    h-index

1–5