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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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Detalles Bibliográficos
Autor principal: Gül, Gökhan
Lenguaje:eng
Publicado: Springer 2017
Materias:
Acceso en línea:https://dx.doi.org/10.1007/978-3-319-49286-5
http://cds.cern.ch/record/2258655

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