A new lower bound for multiple hypothesis testing

  • Authors:

  • L. Birge

  • Affiliations:

  • Lab. de Probabilites et Modeles Aleatoires, Univ. Paris VI

  • Venue:
  • IEEE Transactions on Information Theory
  • Year:
  • 2005

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Abstract

The purpose of this correspondence is to give a new, easily tractable, and sharp lower bound for the maximal error in multiple hypothesis testing with an application to nonasymptotic lower bounds for the minimax risk of estimators