Operator self-similar processes and functional central limit theorems

Vaidotas Characiejus and Alfredas Račkauskas

Stochastic Processes and their Applications, 2014, vol. 124, issue 8, 2605-2627

Abstract: Let {Xk:k≥1} be a linear process with values in the separable Hilbert space L2(μ) given by Xk=∑j=0∞(j+1)−Dεk−j for each k≥1, where D is defined by Df={d(s)f(s):s∈S} for each f∈L2(μ) with d:S→R and {εk:k∈Z} are independent and identically distributed L2(μ)-valued random elements with Eε0=0 and E‖ε0‖2<∞. We establish sufficient conditions for the functional central limit theorem for {Xk:k≥1} when the series of operator norms ∑j=0∞‖(j+1)−D‖ diverges and show that the limit process generates an operator self-similar process.

Keywords: Linear process; Long memory; Self-similar process; Functional central limit theorem (search for similar items in EconPapers)
Date: 2014
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0304414914000581
Full text for ScienceDirect subscribers only

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:eee:spapps:v:124:y:2014:i:8:p:2605-2627

Ordering information: This journal article can be ordered from
http://http://www.elsevier.com/wps/find/supportfaq.cws_home/regional
https://shop.elsevie ... _01_ooc_1&version=01

DOI: 10.1016/j.spa.2014.03.007

Access Statistics for this article

Stochastic Processes and their Applications is currently edited by T. Mikosch

More articles in Stochastic Processes and their Applications from Elsevier
Bibliographic data for series maintained by Catherine Liu ().