0350513 20240103194226.120110106235959.9 000287950000006 78651458400 23 s. cav_un_epca*03505120282-423X4 (2010)1-23 Interactive statistical model census data presentation distribution mixtures data modeling EM algorithm incomplete data data reproduction accuracy data mining cav_un_auth*0101091 Grim Jiří Rozpoznávání obrazu Department of Pattern Recognition RO RO UTIA-B Department of Pattern Recognition Ústav teorie informace a automatizace AV ČR, v. v. i. cav_un_auth*0230019 Hora Jan Rozpoznávání obrazu Department of Pattern Recognition RO RO UTIA-B Ústav teorie informace a automatizace AV ČR, v. v. i. cav_un_auth*0101069 Boček Pavel Stochastická informatika Department of Stochastic Informatics SI SI UTIA-B Department of Stochastic Informatics 10 Ústav teorie informace a automatizace AV ČR, v. v. i. cav_un_auth*0101197 Somol Petr Rozpoznávání obrazu Department of Pattern Recognition RO RO UTIA-B Department of Pattern Recognition Ústav teorie informace a automatizace AV ČR, v. v. i. cav_un_auth*0101182 Pudil Pavel Rozpoznávání obrazu Department of Pattern Recognition RO RO UTIA-B Department of Pattern Recognition Ústav teorie informace a automatizace AV ČR, v. v. i. http://library.utia.cas.cz/separaty/2010/RO/grim-0350513.pdf GA102/07/1594 GA ČR cav_un_auth*0228611 2C06019 GA MŠk CZ cav_un_auth*0216518 1M0572 GA MŠk cav_un_auth*0001814 CEZ:AV0Z10750506 The paper describes the application of a recently developed method of interactive statistical database presentation to the 2001 Czech Census. The method is based on estimating the multivariate probability distribution of the original microdata. The estimated statistical model in the form of a distribution mixture of product components can be used as a knowledge base of a probabilistic expert system. By means of the probabilistic inference mechanism we can derive conditional distributions of variables for each subpopulation interactively without any further access to the source database. The statistical model does not contain the original data and therefore can be distributed without any confidentiality concerns. The accuracy achievable by the statistical model is comparable with that of the anonymized subsets of microdata. 2011 BB 4 A 4a 20231122134256.3 http://hdl.handle.net/11104/0190501 SOCIALSCIENCES.MATHEMATICALMETHODS 0.03 >10.0 0.00206 560 33 5 0.373 22.87 0.39 Q4 Q4 2010 Soubory v repozitáři: grim-0350513.pdf 78651458400 SCOPUS 000287950000006 WOS cav_un_epca*0350512 Journal of Official Statistics 0282-423X 0282-423X Vol. 26 č. 4 2010 1 23