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
62
Radford M. Neal · The Annals of Statistics · 2003 · 1.4K citations · Full text
Radford M. Neal · arXiv (Cornell University) · 2000 · 1.2K citations · Full text
Maria Kalli, Jim E. Griffin, Stephen G. Walker · Statistics and Computing · 2009 · 351 citations
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National Research University Higher School of Economics, Russia
2 publications · 70 citations
2
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1–5 of 157
81

University of Toronto
Toronto, Canada
6 h-index
9 publications
2.9K citations

University of Edinburgh
Edinburgh, United Kingdom
4 h-index
7 publications
431 citations
University of Cambridge
Cambridge, United Kingdom
3 h-index
7 publications
1.9K citations
University College London
London, United Kingdom
3 h-index
5 publications
182 citations
Lancaster University
Lancaster, United Kingdom
3 h-index
3 publications
243 citations

Cornell University
Ithaca, United States
2 h-index
6 publications
210 citations

Pennsylvania State University
State College, United States
2 h-index
6 publications
267 citations
Max Planck Society
Munich, Germany
2 h-index
4 publications
260 citations
1–8 of 81
Repository · 8 publications · 1.5K citations
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4 publications · 390 citations
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3 publications · 41 citations
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3 publications · 429 citations
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JCGS · 3 publications · 78 citations
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