Generalized bootstrap for estimating equations

Research output: Contribution to journalArticle

46 Scopus citations

Abstract

We introduce a generalized bootstrap technique for estimators obtained by solving estimating equations. Some special cases of this generalized bootstrap are the classical bootstrap of Efron, the delete-d jackknife and variations of the Bayesian bootstrap. The use of the proposed technique is discussed in some examples. Distributional consistency of the method is established and an asymptotic representation of the resampling variance estimator is obtained.

Original languageEnglish (US)
Pages (from-to)414-436
Number of pages23
JournalAnnals of Statistics
Volume33
Issue number1
DOIs
StatePublished - Feb 1 2005

Keywords

  • Bayesian bootstrap
  • Dimension asymptotics
  • Estimating equations
  • Generalized bootstrap
  • Generalized linear models
  • Jackknife
  • M-estimation
  • Nonlinear regression
  • Paired bootstrap
  • Resampling
  • Wild bootstrap

Fingerprint Dive into the research topics of 'Generalized bootstrap for estimating equations'. Together they form a unique fingerprint.

  • Cite this