Slice Sampling

Slice Sampling is a Markov Chain Monte Carlo method that samples from a probability distribution by uniformly sampling from the region under the plot of its density function, using an auxiliary variable to define a "slice" of the domain at each iteration.

62

Publications

6.6K

Citations

157

Authors

81

Institutions

Publications per year

2017–2026

14

Authors

157

  1. IM
    Iain Murray

    University of Edinburgh, United Kingdom

    3 publications · 200 citations

    3

    h-index

  2. GO
    Gareth O. Roberts

    University of Warwick, United Kingdom

    3 publications · 243 citations

    3

    h-index

  3. AG
    Andrew Gordon Wilson

    Cornell University, United States

    3 publications · 192 citations

    3

    h-index

  4. MT
    M. Tibbits

    Pennsylvania State University, United States

    2 publications · 89 citations

    2

    h-index

  5. WJ
    Wesley J. Maddox

    National Research University Higher School of Economics, Russia

    2 publications · 70 citations

    2

    h-index

1–5 of 157

Venues

  1. arXiv (Cornell University)

    Repository · 8 publications · 1.5K citations

    8

    h-index

  2. 4

    h-index

  3. Journal of Magnetic Resonance (1969)

    3 publications · 41 citations

    3

    h-index

  4. Statistics and Computing

    3 publications · 429 citations

    3

    h-index

  5. Journal of Computational and Graphical Statistics

    JCGS · 3 publications · 78 citations

    3

    h-index

1–5