Noninformative nonparametric Bayesian estimation of quantiles

Glen Meeden

Research output: Contribution to journalArticlepeer-review

6 Scopus citations

Abstract

In 1981 Rubin introduced the Bayesian bootstrap and argued that it was the natural Bayesian analogue to the usual bootstrap. We show here that when estimating a population quantile in a nonparametric problem it yields estimators that are often preferred to the natural naive estimators based on the order statistic.

Original languageEnglish (US)
Pages (from-to)103-109
Number of pages7
JournalStatistics and Probability Letters
Volume16
Issue number2
DOIs
StatePublished - 1993

Bibliographical note

Funding Information:
in part by NSF grant

Copyright:
Copyright 2014 Elsevier B.V., All rights reserved.

Keywords

  • Bayesian bootstrap
  • noninformative Bayes
  • nonparametric estimation
  • order statistic
  • quantile

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