Giraitis, Liudas and Surgailis, Donatas (1999) Central limit theorem for the empirical process. Journal of Statistical Planning and Inference, 80 (1-2). pp. 81-93. ISSN 0378-3758
Full text not available from this repository.Abstract
We discuss the functional central limit theorem (FCLT) for the empirical process of a moving-average stationary sequence with long memory. The cases of one-sided and double-sided moving averages are discussed. In the case of one-sided (causal) moving average, the FCLT is obtained under weak conditions of smoothness of the distribution and the existence of (2+δ)-moment of i.i.d. innovations, by using the martingale difference decomposition due to Ho and Hsing (1996, Ann. Statist. 24, 992–1014). In the case of double-sided moving average, the proof of the FCLT is based on an asymptotic expansion of the bivariate probability density.
| Item Type: | Article |
|---|---|
| Official URL: | http://www.sciencedirect.com/science/journal/03783... |
| Additional Information: | © 1999 Elsevier Science B.V. |
| Divisions: | STICERD |
| Subjects: | Q Science > QA Mathematics |
| Date Deposited: | 19 Feb 2010 10:40 |
| Last Modified: | 11 Dec 2024 22:12 |
| URI: | http://eprints.lse.ac.uk/id/eprint/7164 |
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