DOIAbstract
AbstractIn this paper we derive almost sure convergence of kernel-type conditional U-statistics in pth mean under mild conditions on the smoothing parameter. An application to discrimination is discussed in detail
AbstractIn this paper we derive almost sure convergence of kernel-type conditional U-statistics in pth mean under mild conditions on the smoothing parameter. An application to discrimination is discussed in detail
International audienceDespite the ubiquity of U-statistics in modern Probability and Statistics, the...
International audienceDespite the ubiquity of U-statistics in modern Probability and Statistics, the...
International audienceDespite the ubiquity of U-statistics in modern Probability and Statistics, the...
In this paper we derive almost sure convergence of kernel-type conditional U-statistics in pth mean ...
As an estimator of an estimable parameter, we consider a linear combination of $ mathrm{U}-statistic...
AbstractLet Un be a U-statistic based on a symmetric kernel h(x,y) and φ∗-mixing samples {X,Xn;n≥1}....
AbstractWe prove limit theorems of functional type for weighted U-statistics with varying kernel. In...
W. Stute (Ann. Probab.19,No. 2 (1991), 812-825) introduced a class of so-calledU-statistics, which m...
Yoshihara (1976) established the weak invariance theorem of the generalized U-statistic for absolute...
A new concept of convergence concerning random probability measure is introduced in order to discuss...
We prove an almost sure conditional convergence result toward a Gaussian kernel and we apply it to a...
AbstractLet Un be U-statistics based on a symmetric kernel h(x,y) and i.i.d. samples {Xn;n≥1}. In th...
International audienceDespite the ubiquity of U-statistics in modern Probability and Statistics, the...
International audienceDespite the ubiquity of U-statistics in modern Probability and Statistics, the...
International audienceDespite the ubiquity of U-statistics in modern Probability and Statistics, the...
International audienceDespite the ubiquity of U-statistics in modern Probability and Statistics, the...
International audienceDespite the ubiquity of U-statistics in modern Probability and Statistics, the...
International audienceDespite the ubiquity of U-statistics in modern Probability and Statistics, the...
In this paper we derive almost sure convergence of kernel-type conditional U-statistics in pth mean ...
As an estimator of an estimable parameter, we consider a linear combination of $ mathrm{U}-statistic...
AbstractLet Un be a U-statistic based on a symmetric kernel h(x,y) and φ∗-mixing samples {X,Xn;n≥1}....
AbstractWe prove limit theorems of functional type for weighted U-statistics with varying kernel. In...
W. Stute (Ann. Probab.19,No. 2 (1991), 812-825) introduced a class of so-calledU-statistics, which m...
Yoshihara (1976) established the weak invariance theorem of the generalized U-statistic for absolute...
A new concept of convergence concerning random probability measure is introduced in order to discuss...
We prove an almost sure conditional convergence result toward a Gaussian kernel and we apply it to a...
AbstractLet Un be U-statistics based on a symmetric kernel h(x,y) and i.i.d. samples {Xn;n≥1}. In th...
International audienceDespite the ubiquity of U-statistics in modern Probability and Statistics, the...
International audienceDespite the ubiquity of U-statistics in modern Probability and Statistics, the...
International audienceDespite the ubiquity of U-statistics in modern Probability and Statistics, the...
International audienceDespite the ubiquity of U-statistics in modern Probability and Statistics, the...
International audienceDespite the ubiquity of U-statistics in modern Probability and Statistics, the...
International audienceDespite the ubiquity of U-statistics in modern Probability and Statistics, the...
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