On the Bernstein-von Mises theorem for the Dirichlet process
arXiv:2008.01130 · doi:10.1214/21-EJS1821
Abstract
We establish that Laplace transforms of the posterior Dirichlet process converge to those of the limiting Brownian bridge process in a neighbourhood about zero, uniformly over Glivenko-Cantelli function classes. For real-valued random variables and functions of bounded variation, we strengthen this result to hold for all real numbers. This last result is proved via an explicit strong approximation coupling inequality.
References in corpus (8)
- On the Bernstein-von Mises phenomenon for nonparametric Bayes procedures
- On Bayesian supremum norm contraction rates
- A Bernstein-von Mises theorem for smooth functionals in semiparametric models
- Adaptive Bernstein-von Mises theorems in Gaussian white noise
- Nonparametric statistical inference for drift vector fields of multi-dimensional diffusions
- Bernstein -- von Mises theorems for statistical inverse problems II: Compound Poisson processes
- Large sample asymptotics for the two-parameter Poisson--Dirichlet process
- Semiparametric Bayesian causal inference