|edoc-Server der Humboldt-Universität zu Berlin|
Lisa A. Korf, University of Washington, Seattle|
Roger J.-B. Wets, University of California, Davis
|Title:||Random lsc functions – An ergodic theorem|
|Date of Acceptance:||07.02.2000|
Stochastic Programming E-Print Series |
|Editors:||Julie L. Higle; Werner Römisch; Surrajeet Sen|
|Keywords (eng):||epi-convergence, stochastic programming, stochastic optimization, Stationary processes, ergodic theorem, Kolmogorov's extension theorem, Bayesian decision theory, composite materials, random lower semicontinuous functions, random samples|
Mathematics of Operations Research 2 (Vol. 26, 2001)
Institute for Operations Research and the Management Sciences (Linthicum, Md.)
|Metadata export: To export the complete metadata set as Endote or Bibtex format please click to the appropriate link.||Endnote Bibtex|
|An ergodic theorem for random lsc functions is obtained by relying on a (novel) 'scalarization' of such functions. In the process, Kolmogorov's extension theorem for randon lsc functions is established. Applications to statistical estimation problems, composite materials and stochastic optimization problems are briefly noted.|
These data concerning access statistics for individual documents
have been compiled using the webserver log files aggregated by AWSTATS.
They refer to a monthly access count to the full text documents as well as to the entry page.
As for format versions of a document which consist of multiple files (such as HTML) the highest monthly access number to one of the files (chapters) is shown respectivly.
To see the detailled access numbers please move the mouse pointer over the single bars of the digaram.
Gesamtzahl der Zugriffe seit Oct 2011: