Original title: Analysis of unemployment as discretized spatial-temporal process
Translated title: Analýza vývoje nezaměstnanosti pomocí diskrétního časo-prostorového procesu
Authors: Reisnerová, Soňa ; Volf, Petr
Document type: Papers
Conference/Event: International Conference on Stereology, Spatial Statistics and Stochastic Geometry, Prague (CZ), 2006-06-26 / 2006-06-29
Year: 2006
Language: eng
Abstract: [eng] [cze]
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. 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.
Keywords: areal-teporal process; Bayes analysis; MCMC; time series; unemployment analysis
Project no.: CEZ:AV0Z10750506 (CEP), IAA101120604 (CEP)
Funding provider: GA AV ČR
Host item entry: Proceedings S4G. International Conference on Stereology, Spatial Statistics and Stochastic Geometry, ISBN 80-7015-037-8

Institution: Institute of Information Theory and Automation AS ČR (web)
Document availability information: Fulltext is available at the institute of the Academy of Sciences.
Original record: http://hdl.handle.net/11104/0133906

Permalink: http://www.nusl.cz/ntk/nusl-35451


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Research > Institutes ASCR > Institute of Information Theory and Automation
Conference materials > Papers