Stochastic Decision Models is a decision-making framework that incorporates probabilistic elements to account for uncertainty in outcomes, distinguishing it from deterministic models by explicitly modeling random variables and their distributions within the decision process.
244
Publications
18.3K
Citations
565
Authors
339
Institutions
Publications per year
2017–2026
46
Parents
Publications
244
Chance-Constrained Programming
A. Charnes, W. W. Cooper · Management Science · 1959 · 2.7K citations
Mathematical Statistics A Decision Theoretic Approach
Gerald S. Rogers · Technometrics · 1968 · 1.2K citations
Mathematical Statistics A Decision Theoretic Approach
Gerald S. Rogers, Thomas S. Ferguson · Technometrics · 1968 · 830 citations
1–5 of 244
Authors
565
- ZF
3
h-index
- HL
3
h-index
- KK
3
h-index
- ED
3
h-index
- DF
3
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1–5 of 565
Institutions
339
Northwestern University
Evanston, United States
7 h-index
8 publications
269 citations
University of Illinois Urbana-Champaign
Urbana, United States
6 h-index
8 publications
254 citations
Carnegie Mellon University
Pittsburgh, United States
5 h-index
10 publications
1.1K citations
Columbia University
New York, United States
5 h-index
7 publications
208 citations
Georgia Institute of Technology
Atlanta, United States
4 h-index
6 publications
122 citations
University of Chicago
Chicago, United States
4 h-index
4 publications
193 citations
University of California, Los Angeles
Los Angeles, United States
4 h-index
10 publications
462 citations
Rensselaer Polytechnic Institute
Troy, United States
4 h-index
10 publications
392 citations
1–8 of 339
Venues
- European Journal of Operational Research
9 publications · 538 citations
9
h-index
- Management Science
8 publications · 3K citations
8
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- Medical Decision Making
MDM · 7 publications · 735 citations
7
h-index
- Technometrics
4 publications · 2K citations
4
h-index
- Journal of the American Statistical Association
4 publications · 290 citations
4
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1–5