Statistical matching is a technique used for combining information when variables of interest are not jointly observed. In this paper we propose the use of Bayesian Networks to deal with the statistical matching problem. Bayesian networks admit a recursive factorization of the joint distribution useful both for data integration and for evaluating the statistical matching uncertainty in the multivariate context. The notion of uncertainty in statistical matching when BNs are used is discussed.
Uncertainty in statistical matching by BNs / Marella, Daniela; Vicard, Paola; Vitale, Vincenzina. - (2019). (Intervento presentato al convegno Cladag 2019 tenutosi a Cassino).
Uncertainty in statistical matching by BNs
Marella, Daniela;Vitale, Vincenzina
2019
Abstract
Statistical matching is a technique used for combining information when variables of interest are not jointly observed. In this paper we propose the use of Bayesian Networks to deal with the statistical matching problem. Bayesian networks admit a recursive factorization of the joint distribution useful both for data integration and for evaluating the statistical matching uncertainty in the multivariate context. The notion of uncertainty in statistical matching when BNs are used is discussed.File | Dimensione | Formato | |
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