Nonhomogeneous fractional integration and multifractional processes
Donatas Surgailis
Stochastic Processes and their Applications, 2008, vol. 118, issue 2, 171-198
Abstract:
Extending the recent work of Philippe et al. [A. Philippe, D. Surgailis, M.-C. Viano, Invariance principle for a class of non stationary processes with long memory, C. R. Acad. Sci. Paris, Ser. 1. 342 (2006) 269-274; A. Philippe, D. Surgailis, M.-C. Viano, Time varying fractionally integrated processes with nonstationary long memory, Theory Probab. Appl. (2007) (in press)] on time-varying fractionally integrated operators and processes with discrete argument, we introduce nonhomogeneous generalizations I[alpha]([dot operator]) and D[alpha]([dot operator]) of the Liouville fractional integral and derivative operators, respectively, where , is a general function taking values in (0,1) and satisfying some regularity conditions. The proof of D[alpha]([dot operator])I[alpha]([dot operator])f=f relies on a surprising integral identity. We also discuss properties of multifractional generalizations of fractional Brownian motion defined as white noise integrals and s.
Keywords: Liouville; fractional; operators; Long-range; dependence; Multifractional; Brownian; motion; Nonhomogeneous; fractional; integration; Scaling; limits (search for similar items in EconPapers)
Date: 2008
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (7)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0304-4149(07)00056-7
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:118:y:2008:i:2:p:171-198
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
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 ().