Continuous Probability Spaces
Continuous Probability Spaces is a probability space in which the sample space is uncountably infinite and the probability measure is defined via a cumulative distribution function that is absolutely continuous with respect to Lebesgue measure, distinguishing it from discrete or singular probability spaces.
258
Publications
12.9K
Citations
455
Authors
274
Institutions
Publications per year
2017–2026
38
Parents
258
1–5 of 258
455
University of Illinois Urbana-Champaign, United States
2 publications · 125 citations
2
h-index
2
h-index
2
h-index
2
h-index
Istituto Nazionale di Fisica Nucleare, Sezione di Napoli, Italy
2 publications · 36 citations
2
h-index
1–5 of 455
274
University of California, Berkeley
Berkeley, United States
4 h-index
8 publications
291 citations
University of Illinois Urbana-Champaign
Urbana, United States
4 h-index
5 publications
273 citations
Stanford University
Stanford, United States
4 h-index
6 publications
184 citations
University of Wisconsin–Madison
Madison, United States
3 h-index
5 publications
127 citations
University of Oxford
Oxford, United Kingdom
3 h-index
4 publications
80 citations
University of California, Irvine
Irvine, United States
3 h-index
7 publications
441 citations

University of Massachusetts Amherst
Amherst Center, United States
3 h-index
6 publications
633 citations
Institut de Mathématiques de Marseille
Marseille, France
3 h-index
3 publications
76 citations
1–8 of 274
Repository · 15 publications · 383 citations
12
h-index
PROC · 10 publications · 205 citations
10
h-index
8 publications · 335 citations
8
h-index
7 publications · 437 citations
7
h-index
TRAN · 7 publications · 215 citations
7
h-index
1–5