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.
@article{1009210686,
author = {Shen, Xiaotong and Wasserman, Larry},
title = {Rates of convergence of posterior distributions},
journal = {Ann. Statist.},
volume = {29},
number = {2},
year = {2001},
pages = { 687-714},
language = {en},
url = {http://dml.mathdoc.fr/item/1009210686}
}
Shen, Xiaotong; Wasserman, Larry. Rates of convergence of posterior distributions. Ann. Statist., Tome 29 (2001) no. 2, pp. 687-714. http://gdmltest.u-ga.fr/item/1009210686/