D.S. Turaga, K. Ratakonda, et al.
SCC 2006
We consider asymptotic behavior of partial sums and sample covariances for linear processes whose innovations are dependent. Central limit theorems and invariance principles are established under fairly mild conditions. Our results go beyond earlier ones by allowing a quite wide class of innovations which includes many important nonlinear time series models. Applications to linear processes with GARCH innovations and other nonlinear time series models are discussed. © 2005 Elsevier B.V. All rights reserved.
D.S. Turaga, K. Ratakonda, et al.
SCC 2006
Igor Devetak, Andreas Winter
ISIT 2003
F.M. Schellenberg, M. Levenson, et al.
BACUS Symposium on Photomask Technology and Management 1991
Michael E. Henderson
International Journal of Bifurcation and Chaos in Applied Sciences and Engineering