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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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| Lenguaje: | eng |
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Springer
2017
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| Acceso en línea: | https://dx.doi.org/10.1007/978-3-319-49286-5 http://cds.cern.ch/record/2258655 |