AbstractFor a sequence of strictly stationary uniform or strong mixing we estimate the mean residual time of the marginal distribution from the first n observations. Under appropriate conditions it is shown that the estimate converges weakly to a well-defined Gaussian process even when the sample size is random
AbstractRelative stability results for weakly dependent and strongly mixing strictly stationary sequ...
AbstractThis paper establishes the weak convergence of a class of marked empirical processes of poss...
AbstractThis article is motivated by a central limit theorem of Ibragimov for strictly stationary ra...
For a sequence of strictly stationary uniform or strong mixing we estimate the mean residual time of...
AbstractFor a sequence of strictly stationary uniform or strong mixing we estimate the mean residual...
The weak convergence of the empirical process of strong mixing or associated random variables is stu...
AbstractIn 1974, Sen proved weak convergence of the empirical processes (in the J1-topology on Dp[0,...
AbstractCharacterization theorems are obtained for the possible limits in distribution of a family o...
AbstractSufficient conditions are given for linear processes and ARMA processes to have the Gaswirth...
AbstractA convergence theorem of Billingsley for the empirical process of stationary, real valued ra...
AbstractThe weak convergences of U- and V-statistics were established by Yoshihara (1976, Z. Warsch....
This article investigates weak convergence of the sequential d-dimensional empirical process under ...
AbstractWeak invariance principles are established for strictly stationary weakly dependent sequence...
AbstractIn this paper, we obtain precise rates of convergence in the strong invariance principle for...
AbstractBy proving Chibisov-O'Reilly-type theorems for uniform empirical and quantile processes base...
AbstractRelative stability results for weakly dependent and strongly mixing strictly stationary sequ...
AbstractThis paper establishes the weak convergence of a class of marked empirical processes of poss...
AbstractThis article is motivated by a central limit theorem of Ibragimov for strictly stationary ra...
For a sequence of strictly stationary uniform or strong mixing we estimate the mean residual time of...
AbstractFor a sequence of strictly stationary uniform or strong mixing we estimate the mean residual...
The weak convergence of the empirical process of strong mixing or associated random variables is stu...
AbstractIn 1974, Sen proved weak convergence of the empirical processes (in the J1-topology on Dp[0,...
AbstractCharacterization theorems are obtained for the possible limits in distribution of a family o...
AbstractSufficient conditions are given for linear processes and ARMA processes to have the Gaswirth...
AbstractA convergence theorem of Billingsley for the empirical process of stationary, real valued ra...
AbstractThe weak convergences of U- and V-statistics were established by Yoshihara (1976, Z. Warsch....
This article investigates weak convergence of the sequential d-dimensional empirical process under ...
AbstractWeak invariance principles are established for strictly stationary weakly dependent sequence...
AbstractIn this paper, we obtain precise rates of convergence in the strong invariance principle for...
AbstractBy proving Chibisov-O'Reilly-type theorems for uniform empirical and quantile processes base...
AbstractRelative stability results for weakly dependent and strongly mixing strictly stationary sequ...
AbstractThis paper establishes the weak convergence of a class of marked empirical processes of poss...
AbstractThis article is motivated by a central limit theorem of Ibragimov for strictly stationary ra...