Abstract
The Bayes estimation of hazard rates for a family of multiplicative point processes is considered. We study the model for which a hazard rate can be linearly parametrized by a freely varied measure. The weighted gamma process is assumed to be the prior distribution of this measure; the posterior distributions and the posterior means are given in explicit forms. Examples of the evaluation of posterior means are given. © 1989 The Institute of Statistical Mathematics.
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Lo, A. Y., & Weng, C. S. (1989). On a class of Bayesian nonparametric estimates: II. Hazard rate estimates. Annals of the Institute of Statistical Mathematics, 41(2), 227–245. https://doi.org/10.1007/BF00049393
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