. "Analysis of unemployment as discretized spatial-temporal process"@en . "Bayes analysis; time series; areal-teporal process; MCMC; unemployment analysis"@en . "80-7015-037-8" . "Analysis of unemployment as discretized spatial-temporal process" . "2"^^ . "Praha" . "2"^^ . . "Proceedings S4G. International Conference on Stereology, Spatial Statistics and Stochastic Geometry" . "2006-06-26+02:00"^^ . . "465026" . "P(IAA101120604), Z(AV0Z10750506)" . "Anal\u00FDza v\u00FDvoje nezam\u011Bstnanosti pomoc\u00ED diskr\u00E9tn\u00EDho \u010Daso-prostorov\u00E9ho procesu"@cs . . . . "Pr\u00E1ce pou\u017E\u00EDv\u00E1 diskretizovan\u00FD model \u010Daso-prostorov\u00E9ho procesu k popisu v\u00FDvoje po\u010Dtu nezam\u011Bstnan\u00FDch. Prostorov\u00E1 slo\u017Eka je d\u00E1na okresy, je sv\u00E1z\u00E1na jednoduch\u00FDm modelem Markovova n\u00E1hodn\u00E9ho pole, \u010Dasov\u00E1 slo\u017Eka se vyv\u00EDj\u00ED jako \u010Dasov\u00E1 \u0159ada se sezonn\u00ED komponentou. Statistick\u00E1 anal\u00FDza - odhad parametr\u016F modelu, je provedena Bayesov\u00FDm zp\u016Fsobem s pou\u017Eit\u00EDm MCMC procedur."@cs . . "[B3C7B71AC60D]" . "J\u010CMF" . . "Anal\u00FDza v\u00FDvoje nezam\u011Bstnanosti pomoc\u00ED diskr\u00E9tn\u00EDho \u010Daso-prostorov\u00E9ho procesu"@cs . . . . . . . . "Reisnerov\u00E1, So\u0148a" . "Analysis of unemployment as discretized spatial-temporal process"@en . . "RIV/67985556:_____/06:00040042" . . "203;208" . "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." . . . "RIV/67985556:_____/06:00040042!RIV07-AV0-67985556" . "6"^^ . . "Analysis of unemployment as discretized spatial-temporal process" . "Volf, Petr" . . "Prague" . "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."@en .