Beta Processes

Beta Process is a stochastic process in Bayesian nonparametrics that serves as a prior distribution over random measures, distinguished by its composition of beta-distributed weights and a completely random measure structure governing the locations of atoms.

192

Publications

18.3K

Citations

429

Authors

224

Institutions

Publications per year

2017–2026

20

Authors

429

  1. MI
    Michael I. Jordan

    University of California, Berkeley, United States

    10 publications · 945 citations

    10

    h-index

  2. JP
    John Paisley

    Columbia University, United States

    9 publications · 847 citations

    9

    h-index

  3. LC
    Lawrence Carin

    Duke University, United States

    9 publications · 738 citations

    9

    h-index

  4. EB
    Erik B. Sudderth

    Massachusetts Institute of Technology, United States

    5 publications · 362 citations

    5

    h-index

  5. YK
    Yongdai Kim

    Seoul National University, South Korea

    4 publications · 126 citations

    4

    h-index

1–5 of 429

Venues

  1. The Journal of Chemical Physics

    6 publications · 189 citations

    6

    h-index

  2. The Annals of Statistics

    5 publications · 723 citations

    5

    h-index

  3. The Astrophysical Journal

    ApJ · 5 publications · 190 citations

    5

    h-index

  4. Journal of Multivariate Analysis

    5 publications · 175 citations

    5

    h-index

  5. arXiv (Cornell University)

    Repository · 5 publications · 125 citations

    5

    h-index

1–5