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Paper #505

Título:
A note on robust detection
Autores:
Luc Devroye, László Györfi y Gábor Lugosi
Data:
Agosto 2000
Resumen:
We introduce a simple new hypothesis testing procedure, which, based on an independent sample drawn from a certain density, detects which of $k$ nominal densities is the true density is closest to, under the total variation (L_{1}) distance. We obtain a density-free uniform exponential bound for the probability of false detection.
Palabras clave:
Robust detection, hypotheses testing
Códigos JEL:
C13, C14
Área de investigación:
Estadística, Econometría y Métodos Cuantitativos
Publicado en:
IEEE Transactions on Information Theory, vol. 48, pp.2111--2114, 2002

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