Blocked Sampling
Blocked Sampling is a Markov Chain Monte Carlo sampling strategy in which multiple variables are grouped into blocks and jointly updated within each iteration, rather than being sampled individually, to improve convergence and mixing properties.
28
Publications
3K
Citations
65
Authors
53
Institutions
Publications per year
2017–2026
8
Parents
28
Multilocus linkage analysis by blocked Gibbs sampling
Alun Thomas, Alexander Gutin, Victor Abkevich et al. · Statistics and Computing · 2000 · 114 citations
1–5 of 28
65
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Istituto di Matematica Applicata e Tecnologie Informatiche, Italy
2 publications · 35 citations
2
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2
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2
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Istituto di Matematica Applicata e Tecnologie Informatiche, Italy
2 publications · 35 citations
2
h-index
1–5 of 65
53
Chinese University of Hong Kong
Hong Kong, Hong Kong
3 h-index
5 publications
172 citations
Politecnico di Milano
Milan, Italy
2 h-index
4 publications
70 citations
Istituto di Matematica Applicata e Tecnologie Informatiche
Pavia, Italy
2 h-index
2 publications
35 citations

Harvard University Press
Cambridge, United States
2 h-index
2 publications
93 citations
Institute of Public Health
Dublin, Ireland
2 h-index
3 publications
61 citations
Environmental Protection Agency
Washington, United States
1 h-index
1 publications
36 citations

Nanjing Forestry University
Nanjing, China
1 h-index
1 publications
14 citations
Max Planck Institute for Solid State Research
Stuttgart, Germany
1 h-index
1 publications
30 citations
1–8 of 53
2 publications · 79 citations
2
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2 publications · 46 citations
2
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2 publications · 1.6K citations
2
h-index
1 publications · 49 citations
1
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PRE · 1 publications · 20 citations
1
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1–5