The Annals of Statistics
- Ann. Statist.
- Volume 34, Number 2 (2006), 1013-1044.
Strong invariance principles for sequential Bahadur–Kiefer and Vervaat error processes of long-range dependent sequences
In this paper we study strong approximations (invariance principles) of the sequential uniform and general Bahadur–Kiefer processes of long-range dependent sequences. We also investigate the strong and weak asymptotic behavior of the sequential Vervaat process, that is, the integrated sequential Bahadur–Kiefer process, properly normalized, as well as that of its deviation from its limiting process, the so-called Vervaat error process. It is well known that the Bahadur–Kiefer and the Vervaat error processes cannot converge weakly in the i.i.d. case. In contrast to this, we conclude that the Bahadur–Kiefer and Vervaat error processes, as well as their sequential versions, do converge weakly to a Dehling–Taqqu type limit process for certain long-range dependent sequences.
Ann. Statist., Volume 34, Number 2 (2006), 1013-1044.
First available in Project Euclid: 27 June 2006
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Csörgő, Miklós; Szyszkowicz, Barbara; Wang, Lihong. Strong invariance principles for sequential Bahadur–Kiefer and Vervaat error processes of long-range dependent sequences. Ann. Statist. 34 (2006), no. 2, 1013--1044. doi:10.1214/009053606000000164. https://projecteuclid.org/euclid.aos/1151418250