Rates of convergence of posterior distributions 论文

2001The Annals of Statistics引用 289
Bayesian Methods and Mixture ModelsStatistical Methods and InferenceMathematical Approximation and Integration

摘要

We compute the rate at which the posterior distribution concentrates around the true parameter value. The spaces we work in are quite general and include in finite dimensional cases. The rates are driven by two quantities: the size of the space, as measured by bracketing entropy, and the degree to which the prior concentrates in a small ball around the true parameter. We consider two examples.