Bayesian networks and complex survey sampling from finite populations
Marco Ballin, Scanu, Paola Vicard · 2005
We propose a novel methodology based on the concept of Bayesian network (BN, see Cowell et al., 1999) for the estimation of a joint probability distribution of a set of categorical variables when samples are drawn according to complex survey designs. Note that, restricting ourselves to categorical variables, the previous aim corresponds to estimation of a contingency table, a very frequent problem in Official Statistics.