Convergence in probability of all predictive distributions of a sequence is characterized by stable convergence, setwise convergence of marginals, and a second-moment matching condition.
(2021) A class of models for Bayesian predictive inference, Bernoulli, 27, 702-726
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Weak convergence of predictive distributions
Convergence in probability of all predictive distributions of a sequence is characterized by stable convergence, setwise convergence of marginals, and a second-moment matching condition.