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Title: Scenario generation with distribution functions and correlations (English)
Author: Kaut, Michal
Author: Lium, Arnt-Gunnar
Language: English
Journal: Kybernetika
ISSN: 0023-5954 (print)
ISSN: 1805-949X (online)
Volume: 50
Issue: 6
Year: 2014
Pages: 1049-1064
Summary lang: English
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Category: math
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Summary: In this paper, we present a method for generating scenarios for two-stage stochastic programs, using multivariate distributions specified by their marginal distributions and the correlation matrix. The margins are described by their cumulative distribution functions and we allow each margin to be of different type. We demonstrate the method on a model from stochastic service network design and show that it improves the stability of the scenario-generation process, compared to both sampling and a method that matches moments and correlations. (English)
Keyword: stochastic programming
Keyword: scenario generation
Keyword: moment matching
Keyword: distribution functions
Keyword: service network design
MSC: 62G30
MSC: 62H20
MSC: 90C15
idZBL: Zbl 1308.90116
idMR: MR3301785
DOI: 10.14736/kyb-2014-6-1049
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Date available: 2015-01-13T10:09:23Z
Last updated: 2016-01-03
Stable URL: http://hdl.handle.net/10338.dmlcz/144122
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