EXCHANGEABILITY, PREDICTIVE DISTRIBUTIONS AND PARAMETRIC MODELS*
Sandra Fortini, L. Bocconi, Lucia Ladelli, Eugenio Regazzini · 2000
SUMMARY. In the general setting of predictive inference, when observations are exchangeable and take values in a Polish space, conditions are stated in order that parametric models turn out to be limiting forms of predictive distributions and parameters are limiting forms of suitable predictive sufficient statistics. The treatment is completed by a necessary and sufficient condition in order that a sequence of predictive distributions may be consistent with an exchangeable distribution. Moreover, main properties of predictive sufficiency are revisited in the general setting described above.