Standard Probability Spaces
Standard Probability Spaces is a probability space that is isomorphic to the unit interval with Lebesgue measure or a countable disjoint union of such intervals, distinguished by its completeness, separability, and the existence of regular conditional probabilities, thereby ensuring analytic tractability and universality in probabilistic constructions.
55
Publications
2.4K
Citations
75
Authors
53
Institutions
Publications per year
2017–2026
5
Parents
55
Object identification in a Bayesian context
Timothy Huang, Stuart Russell · 1997 · 167 citations
Standard Probability and Statistics Tables and Formulae
Technometrics · 2001 · 110 citations
1–5 of 55
75
University at Buffalo, State University of New York, United States
2 publications · 111 citations
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2
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2
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1–5 of 75
53
Texas A&M University
College Station, United States
4 h-index
5 publications
220 citations
The University of Tokyo
Tokyo, Japan
3 h-index
3 publications
60 citations
Institute of Mathematics
Warsaw, Poland
3 h-index
3 publications
58 citations
University at Buffalo, State University of New York
Buffalo, United States
3 h-index
4 publications
205 citations

Buffalo State University
Buffalo, United States
2 h-index
3 publications
172 citations

Wrocław University of Science and Technology
Wroclaw, Poland
2 h-index
3 publications
31 citations

Tel Aviv University
Tel Aviv, Israel
2 h-index
2 publications
65 citations

Vanderbilt University
Nashville, United States
2 h-index
2 publications
100 citations
1–8 of 53
4 publications · 92 citations
4
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DMJ · 3 publications · 99 citations
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TRAN · 3 publications · 547 citations
3
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Repository · 3 publications · 95 citations
3
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PROC · 2 publications · 48 citations
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1–5