Skip to Main content Skip to Navigation
Conference papers

A weighted bootstrap procedure for divergence minimization problems

Abstract : Sanov type results hold for some weighted versions of empirical measures , and the rates for those Large Deviation principles can be identified as divergences between measures, which in turn characterize the form of the weights. This correspondence is considered within the range of the Cressie-Read family of statistical divergences, which covers most of the usual statistical criterions. We propose a weighted bootstrap procedure in order to estimate these rates. To any such rate we produce an explicit procedure which defines the weights, therefore replacing a variational problem in the space of measures by a simple Monte Carlo procedure.
Document type :
Conference papers
Complete list of metadatas

Cited literature [34 references]  Display  Hide  Download
Contributor : Gestionnaire Hal-Upmc <>
Submitted on : Wednesday, October 5, 2016 - 11:19:17 AM
Last modification on : Thursday, March 21, 2019 - 1:12:39 PM
Long-term archiving on: : Friday, January 6, 2017 - 1:12:18 PM


Files produced by the author(s)


  • HAL Id : hal-01376569, version 1


Michel Broniatowski. A weighted bootstrap procedure for divergence minimization problems. AMISTAT : Analytical Methods in Statistics Workshop 2015, Nov 2015, Prague, Czech Republic. ⟨hal-01376569⟩



Record views


Files downloads