Robust and Distributed Hypothesis Testing

Robust and Distributed Hypothesis Testing by Gökhan Gül.

This book generalizes and extends the available theory in robust and decentralized hypothesis testing. In particular, it presents a robust test for modeling errors which is independent from the assumptions that a sufficiently large number of samples is available, and that the distance is the KL-dive...

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Bibliographic Details
Main Author: Gül, Gökhan (Author)
Corporate Author: SpringerLink (Online service)
Format: eBook
Language:English
Published: Cham : Springer International Publishing : Imprint: Springer, 2017.
Edition:1st ed. 2017.
Series:Lecture Notes in Electrical Engineering, 414
Springer eBook Collection.
Subjects:
Signal processing.
Image processing.
Speech processing systems.
Statistics .
Pattern recognition.
Electronic resources (E-books)
Online Access:Click to view e-book
Holy Cross Note:Loaded electronically.
Electronic access restricted to members of the Holy Cross Community.
Table of Contents:
  • Introduction
  • Background
  • Robust Hypothesis Testing with a Single Distance
  • Robust Hypothesis Testing with Multiple Distances
  • Robust Hypothesis Testing with Repeated Observations
  • Robust Decentralized Hypothesis Testing
  • Minimax Decentralized Hypothesis Testing
  • Conclusions and Outlook.

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