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 |
|
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 |
|
editor |
|
|
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 |
|