On the existence of strongly consistent rules for estimation and classification

S. R. Kulkarni, O. Zeitouni

Research output: Contribution to conferencePaper

Abstract

Suppose we observe x1, x2, ... ε λ drawn i.i.d. according to some unknown distribution p selected from a family of distributions P. Let f:P → Λ be a parameterization of P ε P. In this paper, we study necessary and sufficient conditions for the existence of strongly consistent estimators of f(P). A number of previous results along these lines are special cases of our main result.

Original languageEnglish (US)
Number of pages1
StatePublished - Jan 1 1995
EventProceedings of the 1995 IEEE International Symposium on Information Theory - Whistler, BC, Can
Duration: Sep 17 1995Sep 22 1995

Other

OtherProceedings of the 1995 IEEE International Symposium on Information Theory
CityWhistler, BC, Can
Period9/17/959/22/95

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Information Systems
  • Modeling and Simulation
  • Applied Mathematics

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    Kulkarni, S. R., & Zeitouni, O. (1995). On the existence of strongly consistent rules for estimation and classification. Paper presented at Proceedings of the 1995 IEEE International Symposium on Information Theory, Whistler, BC, Can, .