AbstractU-quantiles are applied in robust statistics, like the Hodges–Lehmann estimator of location for example. They have been analysed in the case of independent random variables with the help of a generalized Bahadur representation. Our main aim is to extend these results to U-quantiles of strongly mixing random variables and functionals of absolutely regular sequences. We obtain the central limit theorem and the law of the iterated logarithm for U-quantiles as straightforward corollaries. Furthermore, we improve the existing result for sample quantiles of mixing data
Generalized linear statistics are a unifying class that contains U-statistics, U-quantiles, L-stati...
AbstractIt is shown here that Bahadur's [Ann. Math. Statist. (1966) 37, 577–580] almost sure (a.s.) ...
Let X1, X2,... be a sequence of independent random variables and let h be a function, h: Rm → R, tha...
AbstractU-quantiles are applied in robust statistics, like the Hodges–Lehmann estimator of location ...
AbstractThe object of the present investigation is to show that the elegant asymptotic almost-sure r...
Bahadur representation and its applications have attracted a large number of publications and presen...
Bahadur-type representations of nearest-neighbor and kernel estimators of the conditional $P$-quanti...
Suppose that we observe bivariate data (Xi, Yi) only when Yi ≤ Xi (left truncation). Denote with F t...
AbstractGeneralized linear statistics are a unifying class that contains U-statistics, U-quantiles, ...
Let $ {(X_i, Y_i) : i = 1, 2, ldots } $ be a sequence of stationary independent random vectors in $ ...
We obtain a Bahadur representation for sample quantiles of a nonlinear functional of Gaussian sequen...
Let {(X1, Y1) : i = 1, 2,...; be a sequence of stationary independent random vectors in:71(2) with a...
AbstractThe asymptotic consistency of the bootstrap approximation of the vector of the marginal gene...
In this paper, we consider the kernel-type estimator of the quantile function based on the kernel sm...
We prove the almost sure representation, a law of the iterated logarithm and an invariance principle...
Generalized linear statistics are a unifying class that contains U-statistics, U-quantiles, L-stati...
AbstractIt is shown here that Bahadur's [Ann. Math. Statist. (1966) 37, 577–580] almost sure (a.s.) ...
Let X1, X2,... be a sequence of independent random variables and let h be a function, h: Rm → R, tha...
AbstractU-quantiles are applied in robust statistics, like the Hodges–Lehmann estimator of location ...
AbstractThe object of the present investigation is to show that the elegant asymptotic almost-sure r...
Bahadur representation and its applications have attracted a large number of publications and presen...
Bahadur-type representations of nearest-neighbor and kernel estimators of the conditional $P$-quanti...
Suppose that we observe bivariate data (Xi, Yi) only when Yi ≤ Xi (left truncation). Denote with F t...
AbstractGeneralized linear statistics are a unifying class that contains U-statistics, U-quantiles, ...
Let $ {(X_i, Y_i) : i = 1, 2, ldots } $ be a sequence of stationary independent random vectors in $ ...
We obtain a Bahadur representation for sample quantiles of a nonlinear functional of Gaussian sequen...
Let {(X1, Y1) : i = 1, 2,...; be a sequence of stationary independent random vectors in:71(2) with a...
AbstractThe asymptotic consistency of the bootstrap approximation of the vector of the marginal gene...
In this paper, we consider the kernel-type estimator of the quantile function based on the kernel sm...
We prove the almost sure representation, a law of the iterated logarithm and an invariance principle...
Generalized linear statistics are a unifying class that contains U-statistics, U-quantiles, L-stati...
AbstractIt is shown here that Bahadur's [Ann. Math. Statist. (1966) 37, 577–580] almost sure (a.s.) ...
Let X1, X2,... be a sequence of independent random variables and let h be a function, h: Rm → R, tha...