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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Veröffentlicht in:European journal of operational research Jg. 219; H. 3; S. 719 - 726
1. Verfasser: Shapiro, Alexander
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Amsterdam Elsevier B.V 16.06.2012
Elsevier
Elsevier Sequoia S.A
Schlagworte:
ISSN:0377-2217, 1872-6860
Online-Zugang:Volltext
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Zusammenfassung:► 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.
Bibliographie:SourceType-Scholarly Journals-1
ObjectType-Feature-1
content type line 14
ISSN:0377-2217
1872-6860
DOI:10.1016/j.ejor.2011.11.005