bibtype C - Conference Paper (international conference)
ARLID 0364201
utime 20240103195523.2
mtime 20110926235959.9
WOS 000309074600125
title (primary) (eng) Analysis of occurrence of extremes in a time series with a trend
specification
page_count 6 s.
media_type CD ROM
serial
ARLID cav_un_epca*0364200
ISBN 978-80-7431-059-1
title Proccedengs of the 29th International Conference on Mathematical Methods in Economics 2011
page_num 751-756
publisher
place Praha
name Professional Publishing Praha
year 2011
editor
name1 Dlouhý
name2 M.
editor
name1 Skočdopolová
name2 Veronika
keyword extremal value
keyword regression
keyword prediction
author (primary)
ARLID cav_un_auth*0101227
name1 Volf
name2 Petr
full_dept (cz) Stochastická informatika
full_dept (eng) Department of Stochastic Informatics
department (cz) SI
department (eng) SI
institution UTIA-B
full_dept Department of Stochastic Informatics
garant G
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
source
url http://library.utia.cas.cz/separaty/2011/SI/volf-analysis of occurrence of extremes in a time series with a trend.pdf
cas_special
project
project_id GAP402/10/0956
agency GA ČR
ARLID cav_un_auth*0263482
research CEZ:AV0Z10750506
abstract (eng) We consider a random series of values and are interested in the analysis and modeling the occurrence of extremes. One of approaches is the analysis of sequence of block maxima. As we assume that the series has a trend, we first select a proper regression model for the block maxima development. From it, a Markov chain of the sequence of extremes is derived. As the transition probabilities of the chain are not tractable analytically, we use the Monte Carlo generation of the chain behavior. Then, from the sample representing the series of block maxima we obtain the rediction of their future behavior.
action
ARLID cav_un_auth*0274323
name 29th International Conference on Mathematical Methods in Economics 2011
place Jánská Dolina
dates 06.09.2011-09.09.2011
country SK
reportyear 2012
RIV BB
num_of_auth 1
permalink http://hdl.handle.net/11104/0199742
arlyear 2011
mrcbU34 000309074600125 WOS
mrcbU63 cav_un_epca*0364200 Proccedengs of the 29th International Conference on Mathematical Methods in Economics 2011 978-80-7431-059-1 751 756 Praha Professional Publishing Praha 2011
mrcbU67 Dlouhý M. 340
mrcbU67 Skočdopolová Veronika 340