AbstractLet Un be a U-statistic based on a symmetric kernel h(x,y) and φ∗-mixing samples {X,Xn;n≥1}. Under some suitable conditions, the weak convergence of the self-normalized U-statistics is obtained, which extends a previous result for independent cases
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...
AbstractUsing Hoeffding′s decomposition and truncation arguments we prove some theorems on the conxe...
AbstractUsing Hoeffding′s decomposition and truncation arguments we prove some theorems on the conxe...
ABSTRACT. Let (X) be a sequence of m-dependent random variables, not necessarily n equally distribut...
AbstractLet Un be U-statistics based on a symmetric kernel h(x,y) and i.i.d. samples {Xn;n≥1}. In th...
AbstractA weak convergence of the weighted empirical U-statistic with respect to the Skorohod topolo...
AbstractA weak convergence of the weighted empirical U-statistic with respect to the Skorohod topolo...
AbstractIn this paper we derive almost sure convergence of kernel-type conditional U-statistics in p...
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...
AbstractWe prove limit theorems of functional type for weighted U-statistics with varying kernel. In...
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...
AbstractUsing Hoeffding′s decomposition and truncation arguments we prove some theorems on the conxe...
AbstractUsing Hoeffding′s decomposition and truncation arguments we prove some theorems on the conxe...
ABSTRACT. Let (X) be a sequence of m-dependent random variables, not necessarily n equally distribut...
AbstractLet Un be U-statistics based on a symmetric kernel h(x,y) and i.i.d. samples {Xn;n≥1}. In th...
AbstractA weak convergence of the weighted empirical U-statistic with respect to the Skorohod topolo...
AbstractA weak convergence of the weighted empirical U-statistic with respect to the Skorohod topolo...
AbstractIn this paper we derive almost sure convergence of kernel-type conditional U-statistics in p...
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...
AbstractWe prove limit theorems of functional type for weighted U-statistics with varying kernel. In...
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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