Distributional Limit Theorems for Empirical Processes Generated by Functions of a Stationary Gaussian Process
Miguel A. Arcones ()
Additional contact information
Miguel A. Arcones: Binghamton University, Department of Mathematical Sciences
A chapter in Empirical Process Techniques for Dependent Data, 2002, pp 257-271 from Springer
Abstract:
Abstract We review the literature about limit theorems for sums of a nonlinear function of a stationary sequence of Gaussian r.v.’s. We also consider limit theorems for empirical processes in the previous setup.
Keywords: Limit Theorem; Central Limit Theorem; Stationary Sequence; Hermite Polynomial; Empirical Process (search for similar items in EconPapers)
Date: 2002
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-1-4612-0099-4_9
Ordering information: This item can be ordered from
http://www.springer.com/9781461200994
DOI: 10.1007/978-1-4612-0099-4_9
Access Statistics for this chapter
More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().