The goal of statistical matching, at a micro level, is the construction of a synthetic data source where all the variables of interest are available. In this paper we propose the use of Bayesian Networks to deal with the statistical matching for multivariate categorical variables in the micro approach. Its performance is evaluated by an application to a real data set.
Luigi Conti, P., Marella, D., Vitale, V., Vicard, P. (2021). Statistical Micro Matching Using Bayesian Networks. In 50th SIS Scientific Meeting of the Italian Statistical Society, Book of short papers-SIS 2021 (pp.1500-1505). Pearson.
Statistical Micro Matching Using Bayesian Networks
Paola Vicard
2021-01-01
Abstract
The goal of statistical matching, at a micro level, is the construction of a synthetic data source where all the variables of interest are available. In this paper we propose the use of Bayesian Networks to deal with the statistical matching for multivariate categorical variables in the micro approach. Its performance is evaluated by an application to a real data set.File in questo prodotto:
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