|edoc-Server der Humboldt-Universität zu Berlin|
Lisa A. Korf, IBM Watson Research Center, Yorktown Heights|
Roger J.-B. Wets, University of California, Davis
|Title:||Random lsc functions – Scalarization|
|Date of Acceptance:||21.03.2000|
Stochastic Programming E-Print Series |
|Editors:||Julie L. Higle; Werner Römisch; Surrajeet Sen|
|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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|Random lsc (lower semicontinuous) functions can be indentified with a vector-valued random variable by means of an appropriate scalarization. It is shown that stationarity, ergodicity and independence properties are preserved by this scalarization. The scalarization is exploited to obtain an lsc version of the conditional expectation of a random lsc function.|
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