English

Reduction principles for quantile and Bahadur-Kiefer processes of long-range dependent linear sequences

Statistics Theory 2008-02-08 v1 Statistics Theory

Abstract

In this paper we consider quantile and Bahadur-Kiefer processes for long range dependent linear sequences. These processes, unlike in previous studies, are considered on the whole interval (0,1)(0,1). As it is well-known, quantile processes can have very erratic behavior on the tails. We overcome this problem by considering these processes with appropriate weight functions. In this way we conclude strong approximations that yield some remarkable phenomena that are not shared with i.i.d. sequences, including weak convergence of the Bahadur-Kiefer processes, a different pointwise behavior of the general and uniform Bahadur-Kiefer processes, and a somewhat "strange" behavior of the general quantile process.

Cite

@article{arxiv.0802.1025,
  title  = {Reduction principles for quantile and Bahadur-Kiefer processes of long-range dependent linear sequences},
  author = {Miklós Csörgő and Rafal Kulik},
  journal= {arXiv preprint arXiv:0802.1025},
  year   = {2008}
}

Comments

Preprint. The final version will appear in Probability Theory and Related Fields

R2 v1 2026-06-21T10:10:32.447Z