Robust and distributed hypothesis testing
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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| Main Author | |
|---|---|
| Format | Electronic eBook |
| Language | English |
| Published |
Cham, Switzerland :
Springer,
2017.
|
| Series | Lecture notes in electrical engineering ;
v. 414. |
| Subjects | |
| Online Access | Full text |
| ISBN | 9783319492865 9783319492858 |
| Physical Description | 1 online resource (xxi, 141 pages) : illustrations (some color) |
Cover
Table of Contents:
- Foreword; Acknowledgments; Contents; About the Author; Acronyms; Symbols; 1 Introduction; 1.1 Motivation; 1.2 Related Work; 1.3 Contributions; 1.3.1 Publications; 1.4 Book Overview; References; 2 Background; 2.1 Introduction; 2.2 Robust Detection; 2.2.1 Minimax Hypothesis Testing; 2.2.2 Robust Hypothesis Testing; 2.3 Decentralized Detection; 2.4 Conclusions; References; 3 Robust Hypothesis Testing with a Single Distance; 3.1 Introduction; 3.2 Huber's Minimax Robust Hypothesis Test; 3.2.1 LFDs and the Existence of Saddle Value; 3.2.2 Distributions of the Log-Likelihood Ratios of LFDs.