ore
14:30
presso Aula 32 – Scuola di Economia Management e Statistica, Piazza Scaravilli 1-2, III piano
In the first part of the talk, mainly of the heuristic type, some basic notions (such as regularity, properness,
disintegrability) are recalled and some examples are discussed. The second part is more technical and is
devoted to some results and their implications. In the classical (Kolmogorovian) framework, a few 0-1 laws
for regular conditional distributions are stated. Special attention is paid to the tail and the symmetric sigma-
fields. In the coherent (de Finettian) framework, with reference to a Bayesian inferential problem, the
existence of posterior distributions that make sufficient a given statistics, or make optimal a given estimator,
is discussed. Finally, some compatibility problems for conditional distributions are mentioned, and a few
asymptotic results are stated