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.
2019
Cladag 2019
Bayesian network, collapsibility, uncertainty
04 Pubblicazione in atti di convegno::04b Atto di convegno in volume
Uncertainty in statistical matching by BNs / Marella, Daniela; Vicard, Paola; Vitale, Vincenzina. - (2019). (Intervento presentato al convegno Cladag 2019 tenutosi a Cassino).
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1411671
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