Nonlinear Expectations
Nonlinear Expectations is a mathematical framework within the theory of stochastic processes that generalizes classical linear expectations by allowing the expectation operator to satisfy sublinearity or convexity properties, thereby enabling the modeling of uncertainty and risk aversion in the analysis of stopping times.
63
Publications
3.2K
Citations
81
Authors
67
Institutions
Publications per year
2017–2026
9
Parents
63
1–5 of 63
81
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67
Shandong University
Jinan, China
10 h-index
13 publications
923 citations
University of Southern California
Los Angeles, United States
5 h-index
7 publications
273 citations
École Polytechnique
Palaiseau, France
4 h-index
4 publications
139 citations
Centre de Recherche en Mathématiques de la Décision
Paris, France
4 h-index
6 publications
180 citations
National University of Singapore
Singapore, Singapore
4 h-index
4 publications
96 citations
University of Oxford
Oxford, United Kingdom
3 h-index
4 publications
57 citations

National Bureau of Economic Research
Cambridge, United States
3 h-index
3 publications
607 citations

University of Calgary
Calgary, Canada
3 h-index
4 publications
89 citations
1–8 of 67
Repository · 4 publications · 190 citations
4
h-index
4 publications · 206 citations
4
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4 publications · 154 citations
4
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3 publications · 84 citations
3
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JBES · 3 publications · 284 citations
3
h-index
1–5