Minimax and risk averse multistage stochastic programming

► We study relations between the minimax, risk averse and nested formulations of multistage stochastic programming problems. ► We discuss conditions for time consistency of such formulations of stochastic problems. ► We also describe a connection between law invariant coherent risk measures and the...

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Vydáno v:European journal of operational research Ročník 219; číslo 3; s. 719 - 726
Hlavní autor: Shapiro, Alexander
Médium: Journal Article
Jazyk:angličtina
Vydáno: Amsterdam Elsevier B.V 16.06.2012
Elsevier
Elsevier Sequoia S.A
Témata:
ISSN:0377-2217, 1872-6860
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Shrnutí:► We study relations between the minimax, risk averse and nested formulations of multistage stochastic programming problems. ► We discuss conditions for time consistency of such formulations of stochastic problems. ► We also describe a connection between law invariant coherent risk measures and the corresponding sets of probability measures in their dual representation. In this paper we study relations between the minimax, risk averse and nested formulations of multistage stochastic programming problems. In particular, we discuss conditions for time consistency of such formulations of stochastic problems. We also describe a connection between law invariant coherent risk measures and the corresponding sets of probability measures in their dual representation. Finally, we discuss a minimax approach with moment constraints to the classical inventory model.
Bibliografie:SourceType-Scholarly Journals-1
ObjectType-Feature-1
content type line 14
ISSN:0377-2217
1872-6860
DOI:10.1016/j.ejor.2011.11.005