Proposal Distribution Design
Proposal Distribution Design is a methodological framework within Markov Chain Monte Carlo that specifies the construction and selection of candidate-generating distributions to ensure efficient exploration of the target probability space.
68
Publications
7.8K
Citations
178
Authors
100
Institutions
Publications per year
2017–2026
15
68
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178
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University of Cambridge
Cambridge, United Kingdom
4 h-index
7 publications
570 citations
ETH Zurich
Zurich, Switzerland
2 h-index
4 publications
2.5K citations
University of Wisconsin–Madison
Madison, United States
2 h-index
4 publications
1.5K citations

Centre National de la Recherche Scientifique
Paris, France
2 h-index
6 publications
84 citations
Stanford University
Stanford, United States
2 h-index
10 publications
366 citations
University of Washington
Seattle, United States
2 h-index
2 publications
43 citations
Microsoft (United States)
Redmond, United States
2 h-index
3 publications
576 citations
University of California, Berkeley
Berkeley, United States
2 h-index
4 publications
242 citations
1–8 of 100
4 publications · 113 citations
4
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Repository · 3 publications · 83 citations
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Conference · 2 publications · 51 citations
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2 publications · 82 citations
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2 publications · 2.4K citations
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1–5