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April 2006 An exponential inequality under weak dependence
Raoul S. Kallabis, Michael H. Neumann
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Bernoulli 12(2): 333-350 (April 2006). DOI: 10.3150/bj/1145993977

Abstract

Doukhan and Louhichi introduced a covariance-based concept of weak dependence which is more general than classical mixing concepts. We prove a Bernstein-type inequality under this condition which is similar to the well-known inequality in the independent case. We apply this tool to derive asymptotic properties of penalized least-squares estimators in Barron's classes.

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Raoul S. Kallabis. Michael H. Neumann. "An exponential inequality under weak dependence." Bernoulli 12 (2) 333 - 350, April 2006. https://doi.org/10.3150/bj/1145993977

Information

Published: April 2006
First available in Project Euclid: 25 April 2006

zbMATH: 1126.62039
MathSciNet: MR2218558
Digital Object Identifier: 10.3150/bj/1145993977

Keywords: Barron's classes , Bernstein-type inequality , Cumulants , neural networks , Nonparametric autoregression , penalized least squares , Weak dependence

Rights: Copyright © 2006 Bernoulli Society for Mathematical Statistics and Probability

Vol.12 • No. 2 • April 2006
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