Risk-sensitive Value Functions
Risk-Sensitive Value Functions is a mathematical framework in decision theory that extends classical value functions by incorporating preferences over risk through sensitivity parameters, thereby modeling how agents evaluate stochastic outcomes differently based on their risk attitudes.
230
Publications
13.1K
Citations
418
Authors
285
Institutions
Publications per year
2017–2026
43
230
Mathematical Methods in Risk Theory.
R. E. Beard, H. Buhlmann · Journal of the Royal Statistical Society Series A (General) · 1971 · 508 citations
Business, Finance, Mathematics +14
Measuring Marginal Utility by Reactions to Risk
William Vickrey · Econometrica · 1945 · 432 citations
Coherent multiperiod risk adjusted values and Bellman’s principle
Philippe Artzner, Freddy Delbaen, Jean‐Marc Eber et al. · Annals of Operations Research · 2006 · 426 citations
1–5 of 230
418
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285
Vienna University of Economics and Business
Vienna, Austria
6 h-index
8 publications
258 citations
Princeton University
Princeton, United States
5 h-index
5 publications
364 citations

University of Waterloo
Waterloo, Canada
4 h-index
8 publications
293 citations

Universidad Carlos III de Madrid
Madrid, Spain
4 h-index
4 publications
109 citations
Wuhan University
Wuhan, China
4 h-index
6 publications
120 citations
London School of Economics and Political Science
London, United Kingdom
3 h-index
3 publications
97 citations

Indian Institute of Technology Bombay
Mumbai, India
3 h-index
4 publications
77 citations
University of Cambridge
Cambridge, United Kingdom
3 h-index
5 publications
1.1K citations
1–8 of 285
11 publications · 668 citations
11
h-index
Repository · 6 publications · 195 citations
6
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6 publications · 609 citations
6
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6 publications · 624 citations
6
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6 publications · 365 citations
6
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1–5