Completely Random Measures
Completely Random Measures is a stochastic process in probability theory that generates random measures on a space such that the measures assigned to disjoint sets are independent, distinguishing it from other random measures by its complete stochastic independence across disjoint measurable sets.
31
Publications
1.8K
Citations
38
Authors
42
Institutions
Publications per year
2017–2026
10
Variants
Completely Random Measure
Parents
31
J. F. C. Kingmán · Pacific Journal of Mathematics · 1967 · 337 citations · Full text
Generalized Gamma measures and shot-noise Cox processes
Anders Brix · Advances in Applied Probability · 1999 · 189 citations
Universality limits in the bulk for varying measures
Eli Levin, D. S. Lubinsky · Advances in Mathematics · 2008 · 75 citations
1–5 of 31
38
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Istituto di Matematica Applicata e Tecnologie Informatiche, Italy
3 publications · 51 citations
3
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2
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1–5 of 38
42
Collegio Carlo Alberto
Moncalieri, Italy
7 h-index
10 publications
334 citations
University of Oxford
Oxford, United Kingdom
4 h-index
6 publications
308 citations
Institut de Mathématiques de Bordeaux
Talence, France
3 h-index
3 publications
81 citations
University of Pavia
Pavia, Italy
3 h-index
5 publications
172 citations
Oslo University Hospital
Oslo, Norway
2 h-index
4 publications
60 citations
Boston University
Boston, United States
2 h-index
2 publications
56 citations
Centre de Recherche en Informatique
Fontainebleau, France
2 h-index
2 publications
48 citations

University of Turin
Turin, Italy
2 h-index
2 publications
76 citations
1–8 of 42
4 publications · 352 citations
4
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AAP · 2 publications · 226 citations
2
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2 publications · 57 citations
2
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2 publications · 36 citations
2
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2 publications · 42 citations
2
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