Weak convergence for empirical processes of associated sequences
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Publication:1592249
DOI10.1016/S0246-0203(00)00140-0zbMath0968.60019OpenAlexW2125786858MaRDI QIDQ1592249
Publication date: 2 September 2001
Published in: Annales de l'Institut Henri Poincaré. Probabilités et Statistiques (Search for Journal in Brave)
Full work available at URL: http://www.numdam.org/item?id=AIHPB_2000__36_5_547_0
weak convergenceempirical processesmixinglinear processesassociated random variablesstationary sequences
Central limit and other weak theorems (60F05) Order statistics; empirical distribution functions (62G30) Functional limit theorems; invariance principles (60F17)
Related Items (16)
On the asymptotic normality of the R-estimators of the slope parameters of simple linear regression models with associated errors ⋮ ARBITRARY FUNCTIONAL GLIVENKO-CANTELLI CLASSES AND APPLICATIONS TO DIFFERENT TYPES OF DEPENDENCE ⋮ WEAK DEPENDENCE: MODELS AND APPLICATIONS TO ECONOMETRICS ⋮ An empirical central limit theorem for dependent sequences ⋮ Discrete-time trawl processes ⋮ Clustering in a stochastic model of one-dimensional gas ⋮ Weak convergence for stationary bootstrap empirical processes of associated sequences ⋮ Strong convergence rates for the estimation of a covariance operator for associated samples ⋮ A note on the Lynden-Bell estimator under association ⋮ A note on estimating the conditional expectation under censoring and association: strong uniform consistency ⋮ Tightness criterion and weak convergence for the generalized empirical process in \(D[0, 1\)] ⋮ Extensions of some classical methods in change point analysis ⋮ Asymptotic results for certain weak dependent variables ⋮ Convergence rates for the estimation of two-dimensional distribution functions under association and estimation of the covariance of the limit empirical process ⋮ On bandwidth selection problems in nonparametric trend estimation under martingale difference errors ⋮ Asymptotic normality of the kernel estimate of a probability density function under association
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