Abstract
The large-sample frequentist property of a frequentist bootstrap for a posterior mean with respect to a Dirichlet prior of the survival function for a randomly censored data is given. The weak convergence of a bootstrap version of the Susarla-Van Ryzin estimator is established on the whole real line. An illustration of the technique and some Monte Carlo studies are also given.
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Wells, M.T., Tiwari, R.C. Bootstrapping a Bayes estimator of a survival function with censored data. Ann Inst Stat Math 46, 487–495 (1994). https://doi.org/10.1007/BF00773512
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DOI: https://doi.org/10.1007/BF00773512