National audienceWe prove, for martingales self-normalized by their increasing process, the upper bound of a moderate deviations principle. Self-normalizing allows to get rid of the of exponential convergence of the previsible square variation which appears in previous works on a deterministic normalization of the martingale. The proof relies on the notion of partial large deviations principle introduced by Dembo and Shao in [3] and [4]. (C) 2000 Academie des sciences/Editions scientifiques et medicales Elsevier SAS
Let Xn = (Xnt,Fnt)0 ≤ t ≤ 1 be the square integrable martingales with the quadratic characteristics ...
AbstractA moderate deviation principle for autoregressive processes is established. As statistical a...
International audienceWe propose new concentration inequalities for self-normalized martingales. The...
National audienceWe prove a self-normalized large deviation principle for sums of Banach space value...
AbstractLet {Y,Yi;i≥1} be a sequence of nondegenerate, independent and identically distributed rando...
Cramér type moderate deviation theorems quantify the accuracy of the relative error of the normal ap...
We prove that the Moderate Deviation Principle (MDP) holds for the trajectory of a locally square in...
In this paper we study the moderate deviation principle for linear statistics of the type Sn = i∈Z c...
Let be i.i.d. -valued random variables. We prove partial moderate deviation principles for self-norm...
International audienceIn this paper we study the moderate deviation principle for linear statistics ...
Self-normalized processes are of common occurrence in probabilistic and statistical studies. This vo...
The main objective of this thesis is to state self-normalized large deviations principles, mainly fo...
AbstractLet {Xn,n⩾1} be i.i.d. Rd-valued random variables. We prove partial moderate deviation princ...
International audienceAn expansion of large deviation probabilities for martingales is given, which ...
The martingale problems provide a powerful tool for characterizing Markov processes, especially in a...
Let Xn = (Xnt,Fnt)0 ≤ t ≤ 1 be the square integrable martingales with the quadratic characteristics ...
AbstractA moderate deviation principle for autoregressive processes is established. As statistical a...
International audienceWe propose new concentration inequalities for self-normalized martingales. The...
National audienceWe prove a self-normalized large deviation principle for sums of Banach space value...
AbstractLet {Y,Yi;i≥1} be a sequence of nondegenerate, independent and identically distributed rando...
Cramér type moderate deviation theorems quantify the accuracy of the relative error of the normal ap...
We prove that the Moderate Deviation Principle (MDP) holds for the trajectory of a locally square in...
In this paper we study the moderate deviation principle for linear statistics of the type Sn = i∈Z c...
Let be i.i.d. -valued random variables. We prove partial moderate deviation principles for self-norm...
International audienceIn this paper we study the moderate deviation principle for linear statistics ...
Self-normalized processes are of common occurrence in probabilistic and statistical studies. This vo...
The main objective of this thesis is to state self-normalized large deviations principles, mainly fo...
AbstractLet {Xn,n⩾1} be i.i.d. Rd-valued random variables. We prove partial moderate deviation princ...
International audienceAn expansion of large deviation probabilities for martingales is given, which ...
The martingale problems provide a powerful tool for characterizing Markov processes, especially in a...
Let Xn = (Xnt,Fnt)0 ≤ t ≤ 1 be the square integrable martingales with the quadratic characteristics ...
AbstractA moderate deviation principle for autoregressive processes is established. As statistical a...
International audienceWe propose new concentration inequalities for self-normalized martingales. The...