paper

Multiple Objects: Error Exponents in Hypotheses Testing and Identification

arXiv:1204.2975

Abstract

We servey a series of investigations of optimal testing of multiple hypotheses conserning various multiobject models. These studies are a bright instance of application of methods and technics developed in Shannon information theory to solution of typical statistical problems.

35 pages, 2 figures

Multiple Objects: Error Exponents in Hypotheses Testing and Identification · wovepaper