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.
Marella, D., Vicard, P., Vitale, V. (2019). Uncertainty in statistical matching by BNs. In Cladag 2019. 12th Scientific Meeting – Classification and Data Analysis. Book of Short Papers (pp.305-308). Cassino : Edizioni Università di Cassino.
Uncertainty in statistical matching by BNs
Daniela Marella;Paola Vicard;Vincenzina Vitale
2019-01-01
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.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
