Measure-theoretic Probability
Measure-Theoretic Probability is a formal framework in probability theory that interprets probability as a special case of measure theory, where probabilities are defined as countably additive measures on a σ-algebra of events in a sample space.
3.3K
Publications
236.1K
Citations
3.5K
Authors
1.3K
Institutions
Publications per year
2017–2026
184
3.3K
1–5 of 3.3K
3.5K
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1.3K

Centre National de la Recherche Scientifique
Paris, France
25 h-index
79 publications
4.7K citations
University of California, Berkeley
Berkeley, United States
22 h-index
28 publications
4.8K citations

Sorbonne Université
Paris, France
19 h-index
27 publications
2.6K citations
Hebrew University of Jerusalem
Jerusalem, Israel
18 h-index
29 publications
1.9K citations
Institute of Mathematics
Warsaw, Poland
18 h-index
40 publications
1.1K citations
Université Paris Cité
Paris, France
17 h-index
27 publications
767 citations

Tel Aviv University
Tel Aviv, Israel
17 h-index
20 publications
1.8K citations
Stanford University
Stanford, United States
17 h-index
23 publications
967 citations
1–8 of 1.3K
120 publications · 6.9K citations
44
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TRAN · 112 publications · 5.7K citations
39
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95 publications · 3.7K citations
34
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PROC · 118 publications · 3.9K citations
31
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84 publications · 3.6K citations
29
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