Department of Pattern Recognition

(eng): 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.