We deal with the statistical matching problem and in particular we study the problem related to the managing of inconsistencies. In fact, when logical relations among the variables are present incoherence can arise in the probability evaluations. The aim of this paper is to remove such incoherences by using different methods. Specific precise distances minimization or least committal imprecise probability extensions are adopted. We compare these methods using an exemplifying practical example that brings to light the peculiarities of the statistical matching problem.
The paper is available in the following formats:
Plenary talk: file
Poster: file
Andrea Capotorti
Dipartimento di Matematica e Informatica
Università di Perugia
via Vanvitelli 1
06123 Perugia
Italy
Barbara Vantaggi
Dipartimento Metodi e Modelli Matematici
Universita' La Sapienza
via Scarpa n. 16 Roma,
00161, Italy
Andrea Capotorti | capot@dipmat.unipg.it | |
Barbara Vantaggi | vantaggi@dmmm.uniroma1.it |
Send any remarks to isipta11@uibk.ac.at.