Consider the usual centered kernel density estimator on R^d, with the kernel varying into a class of function G. These random trajectories are called increments of the empirical process indexed by functions. We study the a.s. limit behavior of theses objects along a sequence of bandwidth h_n converging to 0, and we give results when the sequence h_n satisfies the Csörgö-Révész-Stute, and when h_n satisfies the Erdös-Renyi conditions. We give some second-order results in functional laws of the iterated logarithm for the local uniform empirial process.Nous appelons accroissements généralisés du processus empirique l'estimateur à noyau de la densité centré sur R^d pour lequel le noyau varie dans une classe de fonctions G. Ceci définit des proc...
AbstractThis paper deals with uniform rates of convergence for the empirical distribution function a...
International audienceLet $(U_n(t))_{t\in\R^d}$ be the empirical process associated to an $\R^d$-val...
We study the asymptotic behavior of statistics or functionals based on seasonal long-memory processe...
In this thesis, we are concerned with nonparametric estimation of the density given a random sample....
We use general empirical process theory methods to determine exact rates of strong uniform consisten...
La théorie des processus empiriques joue un rôle central en statistique, puisqu elle concerne l ense...
We prove functional limit laws for the increment functions of empirical processes based upon randoml...
Let $(X_n)$ be any sequence of random variables adapted to a filtration $(mathcalG_n)$. Define $a_n(...
International audienceGiven an observation of the uniform empirical process alpha(n) its functional ...
AbstractWe establish Chung–Mogulskii type functional laws of the iterated logarithm for medium and l...
The empirical process theory is a main topic is statistics, since it is involved in most of the gene...
Recently, Radulovic and Wegkamp introduced a new technique to show convergence in distribution of th...
Let X1,...,Xn be n consecutive observations of a linear process , where [mu] is a constant and {Zt} ...
We prove functional laws of the iterated logarithm for empirical processes based upon censored data ...
We specify conditions under which kernel density estimate for linear process is weakly and strongly ...
AbstractThis paper deals with uniform rates of convergence for the empirical distribution function a...
International audienceLet $(U_n(t))_{t\in\R^d}$ be the empirical process associated to an $\R^d$-val...
We study the asymptotic behavior of statistics or functionals based on seasonal long-memory processe...
In this thesis, we are concerned with nonparametric estimation of the density given a random sample....
We use general empirical process theory methods to determine exact rates of strong uniform consisten...
La théorie des processus empiriques joue un rôle central en statistique, puisqu elle concerne l ense...
We prove functional limit laws for the increment functions of empirical processes based upon randoml...
Let $(X_n)$ be any sequence of random variables adapted to a filtration $(mathcalG_n)$. Define $a_n(...
International audienceGiven an observation of the uniform empirical process alpha(n) its functional ...
AbstractWe establish Chung–Mogulskii type functional laws of the iterated logarithm for medium and l...
The empirical process theory is a main topic is statistics, since it is involved in most of the gene...
Recently, Radulovic and Wegkamp introduced a new technique to show convergence in distribution of th...
Let X1,...,Xn be n consecutive observations of a linear process , where [mu] is a constant and {Zt} ...
We prove functional laws of the iterated logarithm for empirical processes based upon censored data ...
We specify conditions under which kernel density estimate for linear process is weakly and strongly ...
AbstractThis paper deals with uniform rates of convergence for the empirical distribution function a...
International audienceLet $(U_n(t))_{t\in\R^d}$ be the empirical process associated to an $\R^d$-val...
We study the asymptotic behavior of statistics or functionals based on seasonal long-memory processe...