Title Sufficient conditions for Bayesian consistency
Authors Yang Xing, Ranneby Bo
Alternative Location http://www.sciencedirect.co..., Restricted Access
Alternative Location http://dx.doi.org/10.1016/j..., Restricted Access
Publication Journal of Statistical Planning and Inference
Year 2009
Volume 139
Issue 7
Pages 2479 - 2489
Document type Article
Status Published
Quality controlled Yes
Language eng
Publisher North-Holland
Abstract English We introduce the Hausdorff α-entropy to study the strong Hellinger consistency of posterior distributions. We obtain general Bayesian consistency theorems which extend the well-known results of Barron et al. 1999. The consistency of posterior distributions in nonparametric problems. Ann. Statist. 27, 536–561 and Ghosal et al. 1999. Posterior consistency of Dirichlet mixtures in density estimation. Ann. Statist. 27, 143–158 and Walker 2004. New approaches to Bayesian consistency. Ann. Statist. 32, 2028–2043. As an application we strengthen previous results on Bayesian consistency of the (normal) mixture models.
Keywords Infinite-dimensional model, Sieve, Posterior distribution, Hellinger consistency,
ISBN/ISSN/Other ISSN: 03783758

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