bibtype V - Research Report
ARLID 0098139
utime 20240103185601.3
mtime 20080115235959.9
title (primary) (eng) Empirical Estimates via Stability in Stochastic Programming
publisher
place Praha
name ÚTIA AV ČR
pub_time 2007
specification
page_count 25 s.
edition
name Research Report
volume_id 2192
title (cze) Empirické odhady a stabilita ve stochastickém programování
keyword Stochastic programming
keyword stability
keyword Wasserstein metric
keyword empirical estimates
keyword convergence rate
keyword problems with penalty and recourse
keyword integer simple recourse case
keyword resk funkcionals
author (primary)
ARLID cav_un_auth*0101122
name1 Kaňková
name2 Vlasta
institution UTIA-B
full_dept Department of Econometrics
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
cas_special
project
project_id GA402/06/1417
agency GA ČR
country CZ
ARLID cav_un_auth*0213949
project
project_id GA402/05/0115
agency GA ČR
ARLID cav_un_auth*0001811
project
project_id GA402/07/1113
agency GA ČR
ARLID cav_un_auth*0228801
research CEZ:AV0Z10750506
abstract (eng) It is known that optimization problems depending on a probability measure correspond to many applications. It is also known that these problems belong mostly to a class of nonlinear optimization problems and, moreover, that very often an ``underlying" probability measure is not completely known. The aim of the research report is to deal with the case when an empirical measure substitutes the theoretical one. In particular, the aim is to generalize reults dealing with convergence rate in the case of empirical esrimates. The introduced results are based on the stability results corresponding to the Wasserstein metric. A relationship berween tails of one-dimensional marginal distribution functions and exponentional rate of convergence are introduced. The corresponding results are focus mainly on ``classical" type of problems corresponding to the cases with penalty and recourse. However, an integer simple recourse case and some special risk funkcionals are discussed also.
reportyear 2008
RIV BB
permalink http://hdl.handle.net/11104/0157128
arlyear 2007
mrcbU10 2007
mrcbU10 Praha ÚTIA AV ČR