International audienceAsymptotic normality of density estimates often requires the continuity of the underlying density and assumptions on its derivatives. Recently, these assumptions have been weakened for some estimates using the less restrictive notion of regularity index. However, the particular definition of this index makes it unusable for many estimates. In this paper, we define a more general regularity concept : the r-regularity. This concept is used to obtain asymptotic law of the histogram without hypothesis on the continuity of the underlying density. As expected, when it does exist, the limit distribution is a standard Gaussian. Then, to illustrate the new definition of r-regularity, examples are studied
AbstractIn this paper, we propose a new family of density estimates closely related to the nearest n...
In this thesis, we are concerned with nonparametric estimation of the density given a random sample....
We study the Lp-integrated risk of some classical estimators of the density, when the observations a...
By a regularization at the origin is meant an extension to R(n) of a suitable distribution initially...
By a regularization at the origin is meant an extension to R(n) of a suitable distribution initially...
The goal of this thesis is to study the local behavior of a probability measure, using a local regul...
summary:The index of regularity of a measure was introduced by Beirlant, Berlinet and Biau [1] to so...
summary:The index of regularity of a measure was introduced by Beirlant, Berlinet and Biau [1] to so...
Two theorems on the asymptotic distribution of a histogram density estimator based on randomly deter...
http://www.math.washington.edu/~ejpecp/index.phpInternational audienceLet $X_1,\dots,X_n$ be $n$ ind...
We give necessary and sufficient criteria for a distribution to be smooth or uniformly Hölder contin...
We consider asymmetric kernel density estimators and smoothed histograms when the unknown probabilit...
We give necessary and sufficient criteria for a distribution to be smooth or uniformly Hölder contin...
date de rédaction : 1975-76This work is associated with limit laws problems, coming from a n-size sa...
The regularity conditions for the consistency, efficiency, and asymptotic Normality of the maximum l...
AbstractIn this paper, we propose a new family of density estimates closely related to the nearest n...
In this thesis, we are concerned with nonparametric estimation of the density given a random sample....
We study the Lp-integrated risk of some classical estimators of the density, when the observations a...
By a regularization at the origin is meant an extension to R(n) of a suitable distribution initially...
By a regularization at the origin is meant an extension to R(n) of a suitable distribution initially...
The goal of this thesis is to study the local behavior of a probability measure, using a local regul...
summary:The index of regularity of a measure was introduced by Beirlant, Berlinet and Biau [1] to so...
summary:The index of regularity of a measure was introduced by Beirlant, Berlinet and Biau [1] to so...
Two theorems on the asymptotic distribution of a histogram density estimator based on randomly deter...
http://www.math.washington.edu/~ejpecp/index.phpInternational audienceLet $X_1,\dots,X_n$ be $n$ ind...
We give necessary and sufficient criteria for a distribution to be smooth or uniformly Hölder contin...
We consider asymmetric kernel density estimators and smoothed histograms when the unknown probabilit...
We give necessary and sufficient criteria for a distribution to be smooth or uniformly Hölder contin...
date de rédaction : 1975-76This work is associated with limit laws problems, coming from a n-size sa...
The regularity conditions for the consistency, efficiency, and asymptotic Normality of the maximum l...
AbstractIn this paper, we propose a new family of density estimates closely related to the nearest n...
In this thesis, we are concerned with nonparametric estimation of the density given a random sample....
We study the Lp-integrated risk of some classical estimators of the density, when the observations a...