bibtype C - Conference Paper (international conference)
ARLID 0040042
utime 20240103182626.2
mtime 20060726235959.9
title (primary) (eng) Analysis of unemployment as discretized spatial-temporal process
specification
page_count 6 s.
serial
ARLID cav_un_epca*0076641
ISBN 80-7015-037-8
title Proceedings S4G. International Conference on Stereology, Spatial Statistics and Stochastic Geometry
page_num 203-208
publisher
place Praha
name JČMF
year 2006
editor
name1 Lechnerová
name2 R.
editor
name1 Saxl
name2 I.
editor
name1 Beneš
name2 V.
title (cze) Analýza vývoje nezaměstnanosti pomocí diskrétního časo-prostorového procesu
keyword Bayes analysis
keyword time series
keyword areal-teporal process
keyword MCMC
keyword unemployment analysis
author (primary)
ARLID cav_un_auth*0215814
name1 Reisnerová
name2 Soňa
institution UTIA-B
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
author
ARLID cav_un_auth*0101227
name1 Volf
name2 Petr
institution UTIA-B
full_dept Department of Stochastic Informatics
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
COSATI 12B
cas_special
project
project_id IAA101120604
agency GA AV ČR
country CZ
ARLID cav_un_auth*0215816
research CEZ:AV0Z10750506
abstract (eng) The article deals with the discretized version of spatial-temporal random point process model and uses it for the analysis of number of unemployed people. The real components are given by the districts of the Czech Republic and are tied together by a simple model of M.R.F. The temporal components develop as s time series, time runs in months through years 2000-2005. We distingvish between the effects of years and the seasonal (months) effects. The solution uses Bayes approach with MCMC computation.
abstract (cze) Práce používá diskretizovaný model časo-prostorového procesu k popisu vývoje počtu nezaměstnaných. Prostorová složka je dána okresy, je svázána jednoduchým modelem Markovova náhodného pole, časová složka se vyvíjí jako časová řada se sezonní komponentou. Statistická analýza - odhad parametrů modelu, je provedena Bayesovým způsobem s použitím MCMC procedur.
action
ARLID cav_un_auth*0215815
name International Conference on Stereology, Spatial Statistics and Stochastic Geometry
place Prague
dates 26.06.2006-29.06.2006
country CZ
reportyear 2007
RIV BB
permalink http://hdl.handle.net/11104/0133906
arlyear 2006
mrcbU63 cav_un_epca*0076641 Proceedings S4G. International Conference on Stereology, Spatial Statistics and Stochastic Geometry 80-7015-037-8 203 208 Praha JČMF 2006
mrcbU67 Lechnerová R. 340
mrcbU67 Saxl I. 340
mrcbU67 Beneš V. 340