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搜索结果: 1-11 共查到linear processes相关记录11条 . 查询时间(0.39 秒)
We propose a finite sample based predictor for estimated linear one dimensional time series models and compute the associated total forecasting error. The expression for the error that we present take...
Some convergence results on the kernel density estimator are proven for a class of linear processes with seasonal effects.
This paper is first devoted to study an adaptive wavelet based estimator of the long memory parameter for linear processes in a general semi-parametric frame. This is an extension of Bardet et al. (20...
Some convergence results on the kernel density estimator are proven for a class of linear processes with seasonal effects. In particular we extend the results of Ho and Hsing (1996a) and Mielniczuk (1...
This paper is first devoted to study an adaptive wavelet based estimator of the long memory parameter for linear processes in a general semi-parametric frame. This is an extension of Bardet {\it et al...
In this paper we consider the central limit theorems for functionals G: R"' -, R of one-sided m-dimensional linear processes X, = xr= A, 2,-, , where A, is a nonrandom matrix m x in and 2,'s are i....
Let Xj = P1 r=0 ArZj−r be a one-sided m-dimensional linear process, where (Zn) is a sequence of i.i.d. random vectors with zero mean and finite covariance matrix. The aim of this paper is to...
In this paper we prove maximal inequalities and study the functional central limit theorem for the partial sums of linear processes generated by dependent innovations. Due to the general weights the...
Linear processes on functional spaces were born about fifteen years ago. And this original topic went through the same fast development as the other areas of functional data modeling such as PCA or ...
In this paper, we obtain the invariance principle for linear processes generated by a negatively associated sequence.

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