A note on Bayesian convergence rates under local prior support conditions
Statistics Theory
2013-12-25 v7 Statistics Theory
Abstract
Bounds on Bayesian posterior convergence rates, assuming the prior satisfies both local and global support conditions, are now readily available. In this paper we explore, in the context of density estimation, Bayesian convergence rates assuming only local prior support conditions. Our results give optimal rates under minimal conditions using very simple arguments.
Keywords
Cite
@article{arxiv.1201.3102,
title = {A note on Bayesian convergence rates under local prior support conditions},
author = {Ryan Martin and Liang Hong and Stephen G. Walker},
journal= {arXiv preprint arXiv:1201.3102},
year = {2013}
}
Comments
9 pages