We study Davis-type theorems on the optimal rate of convergence of moderate deviation probabilities. In the case of martingale difference sequences, under the finite pth mo-ments hypothesis (1 ≤ p <∞), and depending on the normalization factor, our results show that Davis ’ theorems either hold if and only if p> 2 or fail for all p ≥ 1. This is in sharp contrast with the classical case of i.i.d. centered sequences, where both Davis’ theorems hold under the finite second moment hypothesis (or less). 1
International audienceWe prove a central limit theorem for stationary multiple (random) fields of ma...
In this paper we study the moderate deviation principle for linear statistics of the type Sn = i∈Z c...
International audienceIn this paper we study the moderate deviation principle for linear statistics ...
AbstractWe study Davis-type theorems on the moderate deviation probabilities of martingale differenc...
We study Davis ’ series of moderate deviations probabilities for Lp-bounded sequences of random vari...
We give optimal convergence rates in the central limit theorem for a large class of martingale diffe...
In this paper, we give rates of convergence, for minimal distances and for the uniform distance, bet...
AbstractBased on the martingale version of the Skorokhod embedding Heyde and Brown (1970) establishe...
Let (Xi) be a martingale difference sequence and let Sn=[summation operator]i=1nXi. Suppose (Xi) is ...
AbstractThis paper is concerned with large-O error estimates concerning convergence in distribution ...
To appear in Annales de l'I.H.P. (2004)We established the rate of convergence in the central limit t...
We prove that the Moderate Deviation Principle (MDP) holds for the trajectory of a locally square in...
Among the limit theorems of the probability theory, the central limit theorem plays an important rol...
Non-uniform rates of convergence to normality are derived for standardized sums of random variables ...
Some non-uniform rates of convergence to normality are derived for standardised sums of martingale d...
International audienceWe prove a central limit theorem for stationary multiple (random) fields of ma...
In this paper we study the moderate deviation principle for linear statistics of the type Sn = i∈Z c...
International audienceIn this paper we study the moderate deviation principle for linear statistics ...
AbstractWe study Davis-type theorems on the moderate deviation probabilities of martingale differenc...
We study Davis ’ series of moderate deviations probabilities for Lp-bounded sequences of random vari...
We give optimal convergence rates in the central limit theorem for a large class of martingale diffe...
In this paper, we give rates of convergence, for minimal distances and for the uniform distance, bet...
AbstractBased on the martingale version of the Skorokhod embedding Heyde and Brown (1970) establishe...
Let (Xi) be a martingale difference sequence and let Sn=[summation operator]i=1nXi. Suppose (Xi) is ...
AbstractThis paper is concerned with large-O error estimates concerning convergence in distribution ...
To appear in Annales de l'I.H.P. (2004)We established the rate of convergence in the central limit t...
We prove that the Moderate Deviation Principle (MDP) holds for the trajectory of a locally square in...
Among the limit theorems of the probability theory, the central limit theorem plays an important rol...
Non-uniform rates of convergence to normality are derived for standardized sums of random variables ...
Some non-uniform rates of convergence to normality are derived for standardised sums of martingale d...
International audienceWe prove a central limit theorem for stationary multiple (random) fields of ma...
In this paper we study the moderate deviation principle for linear statistics of the type Sn = i∈Z c...
International audienceIn this paper we study the moderate deviation principle for linear statistics ...