Regular Conditional Probability
Regular Conditional Probability is a probability kernel that assigns to each point in the sample space a probability measure on the measurable space of outcomes, such that it satisfies the condition of being a version of the conditional probability given a sub-σ-algebra and is measurable with respect to the conditioning variable.
25
Publications
825
Citations
34
Authors
19
Institutions
Publications per year
2017–2026
3
Variants
Regular Conditional Distribution
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1–5 of 25
34
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19
Carnegie Mellon University
Pittsburgh, United States
2 h-index
6 publications
192 citations

University of Piraeus
Piraeus, Greece
1 h-index
2 publications
22 citations

University of Bristol
Bristol, United Kingdom
1 h-index
1 publications
83 citations

University of Modena and Reggio Emilia
Modena, Italy
1 h-index
2 publications
38 citations
London School of Economics and Political Science
London, United Kingdom
1 h-index
1 publications
10 citations
University of Stuttgart
Stuttgart, Germany
1 h-index
2 publications
22 citations

Universidade Estadual de Campinas (UNICAMP)
Campinas, Brazil
1 h-index
1 publications
23 citations

University of Oulu
Oulu, Finland
1 h-index
1 publications
12 citations
1–8 of 19
8 publications · 322 citations
8
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3 publications · 98 citations
3
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2 publications · 47 citations
2
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1 publications · 10 citations
1
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EJP · 1 publications · 36 citations
1
h-index
1–5