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Informational Confidence Bounds for Self-Normalized Averages and Applications

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  • معلومة اضافية
    • Contributors:
      Institut de Mathématiques de Toulouse UMR5219 (IMT); Université Toulouse Capitole (UT Capitole); Université de Toulouse (UT)-Université de Toulouse (UT)-Institut National des Sciences Appliquées - Toulouse (INSA Toulouse); Institut National des Sciences Appliquées (INSA)-Université de Toulouse (UT)-Institut National des Sciences Appliquées (INSA)-Université Toulouse - Jean Jaurès (UT2J); Université de Toulouse (UT)-Université Toulouse III - Paul Sabatier (UT3); Université de Toulouse (UT)-Centre National de la Recherche Scientifique (CNRS)
    • بيانات النشر:
      HAL CCSD
    • الموضوع:
      2013
    • Collection:
      Université Toulouse 2 - Jean Jaurès: HAL
    • الموضوع:
    • نبذة مختصرة :
      International audience ; We present deviation bounds for self-normalized averages and applications to estimation with a random number of observations. The results rely on a peeling argument in exponential martingale techniques that represents an alternative to the method of mixture. The motivating examples of bandit problems and context tree estimation are detailed.
    • Relation:
      hal-00862062; https://hal.science/hal-00862062; https://hal.science/hal-00862062/document; https://hal.science/hal-00862062/file/garivier.pdf
    • Rights:
      info:eu-repo/semantics/OpenAccess
    • الرقم المعرف:
      edsbas.91EC101B