AbstractThe purpose of this paper is to propose a unifying weak dependence condition. Mixing sequences, functions of associated or Gaussian sequences, Bernoulli shifts as well as models with a Markovian representation are examples of the models considered. We establish Marcinkiewicz–Zygmund, Rosenthal and exponential inequalities for general sequences of centered random variables. Inequalities are stated in terms of the decay rate for the covariance of products of the initial random variables subject to the condition that the gap of time between both products tends to infinity. As applications of those notions, we obtain a version of the functional CLT and an invariance principle for the empirical proces
Doukhan and Louhichi [P. Doukhan, S. Louhichi, A new weak dependence condition and application to mo...
© 2014, Pleiades Publishing, Ltd. A new condition for a weak dependence of random variables is deter...
© 2014, Pleiades Publishing, Ltd. A new condition for a weak dependence of random variables is deter...
AbstractThe purpose of this paper is to propose a unifying weak dependence condition. Mixing sequenc...
This paper is aimed to sharpen a weak invariance principle for stationary sequences in Doukhan &...
AbstractDoukhan and Louhichi [P. Doukhan, S. Louhichi, A new weak dependence condition and applicati...
30 pagesInternational audienceThe aim of this article is to refine a weak invariance principle for s...
30 pagesInternational audienceThe aim of this article is to refine a weak invariance principle for s...
International audienceWe prove an invariance principle for non-stationary random processes and estab...
International audienceWe prove an invariance principle for non-stationary random processes and estab...
International audienceUsing the idea of weak dependence introduced in Doukhan and Louhichi 1999, we ...
International audienceUsing the idea of weak dependence introduced in Doukhan and Louhichi 1999, we ...
International audienceUsing the idea of weak dependence introduced in Doukhan and Louhichi 1999, we ...
International audienceWe prove an invariance principle for non-stationary random processes and estab...
International audienceWe prove an invariance principle for non-stationary random processes and estab...
Doukhan and Louhichi [P. Doukhan, S. Louhichi, A new weak dependence condition and application to mo...
© 2014, Pleiades Publishing, Ltd. A new condition for a weak dependence of random variables is deter...
© 2014, Pleiades Publishing, Ltd. A new condition for a weak dependence of random variables is deter...
AbstractThe purpose of this paper is to propose a unifying weak dependence condition. Mixing sequenc...
This paper is aimed to sharpen a weak invariance principle for stationary sequences in Doukhan &...
AbstractDoukhan and Louhichi [P. Doukhan, S. Louhichi, A new weak dependence condition and applicati...
30 pagesInternational audienceThe aim of this article is to refine a weak invariance principle for s...
30 pagesInternational audienceThe aim of this article is to refine a weak invariance principle for s...
International audienceWe prove an invariance principle for non-stationary random processes and estab...
International audienceWe prove an invariance principle for non-stationary random processes and estab...
International audienceUsing the idea of weak dependence introduced in Doukhan and Louhichi 1999, we ...
International audienceUsing the idea of weak dependence introduced in Doukhan and Louhichi 1999, we ...
International audienceUsing the idea of weak dependence introduced in Doukhan and Louhichi 1999, we ...
International audienceWe prove an invariance principle for non-stationary random processes and estab...
International audienceWe prove an invariance principle for non-stationary random processes and estab...
Doukhan and Louhichi [P. Doukhan, S. Louhichi, A new weak dependence condition and application to mo...
© 2014, Pleiades Publishing, Ltd. A new condition for a weak dependence of random variables is deter...
© 2014, Pleiades Publishing, Ltd. A new condition for a weak dependence of random variables is deter...