AbstractWe present two general results that can be used to obtain asymptotic properties for statistical functionals based on linear long-memory sequences. As examples for the first one we consider L- and V-statistics, in particular tail-dependent L-statistics as well as V-statistics with unbounded kernels. As an example for the second result we consider degenerate V-statistics. To prove these results we also establish a weak convergence result for empirical processes of linear long-memory sequences, which improves earlier ones
AbstractThis paper obtains a uniform reduction principle for the empirical process of a stationary m...
We study stationary, second order random fields on the lattice Z^d. They are assumed to be strongly ...
This paper obtains asymptotic representations of a class of L-estimators in a linear regression mode...
We present two general results that can be used to obtain asymptotic properties for statistical func...
AbstractWe present two general results that can be used to obtain asymptotic properties for statisti...
We provide an asymptotic result for the distribution of functionals of continuous Gaussian processes...
We derive a new representation for U - and V -statistics. Using this representation, the asymptotic ...
Abstract. We study the asymptotic behavior of the empirical process when the underlying data are Gau...
We consider a long memory process and show the asymptotic distribution of the periodogram under weak...
This paper considers the short- and long-memory linear processes with GARCH (1,1) noises. The functi...
Abstract: We study the limiting behaviour of the prominent V/S and R/S test statistics, aimed at det...
Abstract: In this paper we study the asymptotic behaviour of empirical processes when parameters are...
[[abstract]]We develop an asymptotic theory for the first two sample moments of a stationary multiva...
We study the asymptotic behavior of statistics or functionals based on seasonal long-memory processe...
In this thesis, statistical theory for time series with conditional heteroskedasticity and long memo...
AbstractThis paper obtains a uniform reduction principle for the empirical process of a stationary m...
We study stationary, second order random fields on the lattice Z^d. They are assumed to be strongly ...
This paper obtains asymptotic representations of a class of L-estimators in a linear regression mode...
We present two general results that can be used to obtain asymptotic properties for statistical func...
AbstractWe present two general results that can be used to obtain asymptotic properties for statisti...
We provide an asymptotic result for the distribution of functionals of continuous Gaussian processes...
We derive a new representation for U - and V -statistics. Using this representation, the asymptotic ...
Abstract. We study the asymptotic behavior of the empirical process when the underlying data are Gau...
We consider a long memory process and show the asymptotic distribution of the periodogram under weak...
This paper considers the short- and long-memory linear processes with GARCH (1,1) noises. The functi...
Abstract: We study the limiting behaviour of the prominent V/S and R/S test statistics, aimed at det...
Abstract: In this paper we study the asymptotic behaviour of empirical processes when parameters are...
[[abstract]]We develop an asymptotic theory for the first two sample moments of a stationary multiva...
We study the asymptotic behavior of statistics or functionals based on seasonal long-memory processe...
In this thesis, statistical theory for time series with conditional heteroskedasticity and long memo...
AbstractThis paper obtains a uniform reduction principle for the empirical process of a stationary m...
We study stationary, second order random fields on the lattice Z^d. They are assumed to be strongly ...
This paper obtains asymptotic representations of a class of L-estimators in a linear regression mode...