|edoc-Server der Humboldt-Universität zu Berlin|
Holger Heitsch, Humboldt-University Berlin|
Werner Römisch, Humboldt-University Berlin
Cyrille Strugarek, EDF R&D OSIRIS
|Title:||Stability of multistage stochastic programs|
|Date of Acceptance:||08.08.2005|
Stochastic Programming E-Print Series |
|Editors:||Julie L. Higle; Werner Römisch; Surrajeet Sen|
|Complete Preprint:||pdf (urn:nbn:de:kobv:11-10059923)|
|Keywords (eng):||stability, Stochastic programming, multistage, nonanticipativity, filtration, probability metrics|
|Metadata export: To export the complete metadata set as Endote or Bibtex format please click to the appropriate link.||Endnote Bibtex|
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|Quantitative stability of linear multistage stochastic programs is studied. It is shown that the infima of such programs behave (locally) Lipschitz continuous with respect to the sum of an $L_r$-distance and of a distance measure for the filtrations of the original and approximate stochastic (input) processes. Various issues of the result are discussed and an illustrative example is given. Consequences for the reduction of scenario trees are also discussed.|
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