Slab Priors

Slab Priors is a type of continuous prior distribution in Bayesian inference that assigns high density to values near zero while allowing non-negligible density over a broad range of non-zero values, distinguishing it from sparsity-inducing priors by its support of substantial posterior probability mass away from sparsity.

42

Publications

2.1K

Citations

103

Authors

59

Institutions

Publications per year

2017–2026

24

Authors

103

  1. VM
    Vishal Monga

    Pennsylvania State University, United States

    5 publications · 110 citations

    5

    h-index

  2. HS
    Hojjat Seyed Mousavi

    Pennsylvania State University, United States

    4 publications · 93 citations

    4

    h-index

  3. TD
    Trac D. Tran

    Johns Hopkins University, United States

    4 publications · 95 citations

    4

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  4. VR
    Veronika Ročková

    University of Chicago, United States

    3 publications · 240 citations

    3

    h-index

  5. MV
    Marina Vannucci

    Rice University, United States

    2 publications · 101 citations

    2

    h-index

1–5 of 103

Venues

  1. Bayesian Analysis

    7 publications · 517 citations

    7

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  2. The Annals of Statistics

    4 publications · 455 citations

    4

    h-index

  3. 3

    h-index

  4. 3

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  5. arXiv (Cornell University)

    Repository · 3 publications · 65 citations

    3

    h-index

1–5