Conditional Monte Carlo
Conditional Monte Carlo is a variance reduction technique in computational statistics that belongs to the class of Monte Carlo methods, distinguished by its use of conditional expectations to reduce the variability of estimators through analytical integration over a subset of random variables.
56
Publications
2.2K
Citations
106
Authors
60
Institutions
Publications per year
2017–2026
12
Variants
Conditional Monte Carlo MethodConditional Monte Carlo Methods
Parents
56
Simulation of Ruin Probabilities for Subexponential Claims
Søren Asmussen, Klemens Binswanger · Astin Bulletin · 1997 · 114 citations · Full text
1–5 of 56
106
4
h-index
4
h-index
4
h-index
4
h-index
3
h-index
1–5 of 106
60

The University of Queensland
Brisbane, Australia
6 h-index
9 publications
431 citations
Université de Montréal
Montreal, Canada
4 h-index
7 publications
207 citations

University of Amsterdam
Amsterdam, The Netherlands
4 h-index
8 publications
170 citations

Aarhus University
Aarhus, Denmark
3 h-index
4 publications
252 citations
Massachusetts Institute of Technology
Cambridge, United States
3 h-index
3 publications
171 citations
University of California, Los Angeles
Los Angeles, United States
2 h-index
4 publications
196 citations
Columbia University
New York, United States
2 h-index
2 publications
24 citations

UNSW Sydney
Sydney, Australia
2 h-index
2 publications
30 citations
1–8 of 60
Repository · 4 publications · 63 citations
4
h-index
AAP · 3 publications · 199 citations
3
h-index
3 publications · 278 citations
3
h-index
2 publications · 31 citations
2
h-index
TOMACS · 2 publications · 29 citations
2
h-index
1–5