Mathematics – Statistics Theory
Scientific paper
2009-08-13
Annals of Statistics 2009, Vol. 37, No. 4, 1906-1945
Mathematics
Statistics Theory
Published in at http://dx.doi.org/10.1214/08-AOS631 the Annals of Statistics (http://www.imstat.org/aos/) by the Institute of
Scientific paper
10.1214/08-AOS631
An important issue in survival analysis is the investigation and the modeling of hazard rates. Within a Bayesian nonparametric framework, a natural and popular approach is to model hazard rates as kernel mixtures with respect to a completely random measure. In this paper we provide a comprehensive analysis of the asymptotic behavior of such models. We investigate consistency of the posterior distribution and derive fixed sample size central limit theorems for both linear and quadratic functionals of the posterior hazard rate. The general results are then specialized to various specific kernels and mixing measures yielding consistency under minimal conditions and neat central limit theorems for the distribution of functionals.
Blasi Pierpaolo de
Peccati Giovanni
Prunster Igor
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