Expected Value Models is a stochastic optimization framework that belongs to the class of mathematical models designed for decision-making under uncertainty, distinguished by its use of expected values of random variables to optimize objective functions over probabilistic scenarios.
220
Publications
15.6K
Citations
453
Authors
259
Institutions
Publications per year
2017–2026
40
Parents
Publications
220
Social Distance and Social Decisions
George A. Akerlof · Econometrica · 1997 · 1.5K citations
Choice Reviews Online · 2015 · 465 citations · Full text
1–5 of 220
Authors
453
- MA
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- EH
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- BL
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- JK
3
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1–5 of 453
Institutions
259
Tanta University
Tanta, Egypt
6 h-index
9 publications
160 citations
University of Washington
Seattle, United States
5 h-index
9 publications
480 citations
Tsinghua University
Beijing, China
5 h-index
12 publications
4.6K citations
Brown University
Providence, United States
5 h-index
11 publications
1.2K citations
Microsoft (United States)
Redmond, United States
4 h-index
6 publications
304 citations
University College London
London, United Kingdom
4 h-index
7 publications
253 citations
Massachusetts Institute of Technology
Cambridge, United States
4 h-index
5 publications
237 citations
Simon Fraser University
Burnaby, Canada
3 h-index
6 publications
163 citations
1–8 of 259
Venues
- Technometrics
6 publications · 204 citations
6
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- Journal of Intelligent & Fuzzy Systems
5 publications · 86 citations
5
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- Medical Decision Making
MDM · 5 publications · 171 citations
5
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- International Journal of Mathematics in Operational Research
IJMOR · 4 publications · 67 citations
4
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- SSRN Electronic Journal
Repository · 4 publications · 85 citations
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1–5