bibtype C - Conference Paper (international conference)
ARLID 0348202
utime 20240103193956.5
mtime 20101102235959.9
WOS 000315405300010
title (primary) (eng) Nonlinear Functionals in Stochastic Programming; A Note on Stability and Empirical Estimatest
specification
page_count 11 s.
serial
ARLID cav_un_epca*0348152
ISBN 978-80-8078-364-8
title Quantitative Methods in Economics (Multiple Criteria Decision Making XV)
page_num 96-106
publisher
place Bratislava, SR
name University of Economics, Bratislava
year 2010
editor
name1 Reiff
name2 Marian
keyword Optimization problems with a random element
keyword One stage stochastic programming problems
keyword Multistage stochastic programming problems
keyword Linear and nonlinear functionals
keyword Risk measures
author (primary)
ARLID cav_un_auth*0101122
name1 Kaňková
name2 Vlasta
full_dept (cz) Ekonometrie
full_dept (eng) Department of Econometrics
department (cz) E
department (eng) E
institution UTIA-B
full_dept Department of Econometrics
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
source
url http://library.utia.cas.cz/separaty/2010/E/kankova-nonlinear functionals in stochastic programming a note on stability and empirical estimates.pdf
cas_special
project
project_id GAP402/10/0956
agency GA ČR
ARLID cav_un_auth*0263482
project
project_id GAP402/10/1610
agency GA ČR
ARLID cav_un_auth*0263483
project
project_id GA402/08/0107
agency GA ČR
country CZ
ARLID cav_un_auth*0240545
research CEZ:AV0Z10750506
abstract (eng) Economic processes are very often influenced simultaneously by a decision parameter (that can be chosen according to conditions) and a random factor. Since mostly it is necessary to determine the decision parameter without knowledge of a random element realization, a deterministic optimization problem has to be defined. This deterministic problem can usually depend on an ``underlying" probability measure corresponding to the random element. The investigation of such types problems often belong to the stochastic programming field. The great attention has been focus on the problems in which objective functions depend ``linearly" on the probability measure. This note is focus on the cases when the above mentioned assumption is not fulfilled; see e.g. Markowitz functionals or some risk measures. We try to cover static (one stage problems) as well as dynamic approaches (multistage stochastic programming case
action
ARLID cav_un_auth*0264790
name Quantitative Methods in Economics (Multiple Criteria Decision Making)
place Smolenice
dates 06.10.2010-08.10.2010
country SK
reportyear 2011
RIV BB
num_of_auth 1
permalink http://hdl.handle.net/11104/0188791
arlyear 2010
mrcbU34 000315405300010 WOS
mrcbU63 cav_un_epca*0348152 Quantitative Methods in Economics (Multiple Criteria Decision Making XV) 978-80-8078-364-8 96 106 Bratislava, SR University of Economics, Bratislava 2010 Iura Edition, člen skupiny Walters Kluwer
mrcbU67 Reiff Marian 340