Bayesian bootstrap with Dirichlet process prior approximates posteriors for smooth functionals θ(P) and is asymptotically equivalent to Efron's bootstrap under noninformative priors.
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Bayesian and Empirical Bayesian Bootstrapping
Bayesian bootstrap with Dirichlet process prior approximates posteriors for smooth functionals θ(P) and is asymptotically equivalent to Efron's bootstrap under noninformative priors.