Počet záznamů: 1  

Empirical estimates in stochastic programs with probability and second order stochastic dominance constraints

  1. 1.
    SYSNO ASEP0454495
    Druh ASEPJ - Článek v odborném periodiku
    Zařazení RIVJ - Článek v odborném periodiku
    Poddruh JČlánek ve SCOPUS
    NázevEmpirical estimates in stochastic programs with probability and second order stochastic dominance constraints
    Tvůrce(i) Omelchenko, Vadym (UTIA-B)
    Kaňková, Vlasta (UTIA-B) RID
    Zdroj.dok.Acta Mathematica Universitas Comenianae - ISSN 0862-9544
    Roč. 84, č. 2 (2015), s. 267-281
    Poč.str.15 s.
    Forma vydáníTištěná - P
    Jazyk dok.eng - angličtina
    Země vyd.SK - Slovensko
    Klíč. slovaStochastic programming problems ; empirical estimates ; light and heavy tailed distributions ; quantiles
    Vědní obor RIVBB - Aplikovaná statistika, operační výzkum
    CEPGA13-14445S GA ČR - Grantová agentura ČR
    Institucionální podporaUTIA-B - RVO:67985556
    EID SCOPUS84940989349
    AnotaceStochastic optimization problems with an operator of the mathematical expectation in the objective function, probability and stochastic dominance constraints belong to “deterministic” problems depending on a probability measure. Complete knowledge of the probability measure is a necessary condition for solving these problems. However, since this assumption is very rarely fulfilled (in applications), problems are mostly solved on the basis of data. Mathematically it means that the “underlying” probability measure is replaced by an empirical one (determined by the corresponding data). Stochastic estimates of an optimal value and an optimal solution can only then be obtained. Properties of these estimates have been investigated many times, mostly in the case of constraint sets not depending on the probability measure. Our results generalize such estimates to two separate cases (already mentioned above) when the constraint sets do depend on the probability measure.
    PracovištěÚstav teorie informace a automatizace
    KontaktMarkéta Votavová, votavova@utia.cas.cz, Tel.: 266 052 201.
    Rok sběru2016
Počet záznamů: 1  

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