ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1803.06907
28
7
v1v2 (latest)

Auxiliary information : the raking-ratio empirical process

19 March 2018
Mickael Albertus
Philippe Berthet
ArXiv (abs)PDFHTML
Abstract

We study the empirical measure associated to a sample of size nnn and modified by NNN iterations of the raking-ratio method. This empirical measure is adjusted to match the true probability of sets in a finite partition which changes each step. We establish asymptotic properties of the raking-ratio empirical process indexed by functions as n→+∞n\rightarrow +\inftyn→+∞, for NNN fixed. We study nonasymptotic properties by using a Gaussian approximation which yields uniform Berry-Esseen type bounds depending on n,Nn, Nn,N and provides estimates of the uniform quadratic risk reduction. A closed-form expression of the limiting covariance matrices is derived as N→+∞N\rightarrow +\inftyN→+∞. In the two-way contingency table case the limiting process has a simple explicit formula.

View on arXiv
Comments on this paper