On the differentiability of a class of stationary gaussian processes
P. L. Davies and
D. C. Dowson
Stochastic Processes and their Applications, 1975, vol. 3, issue 3, 283-286
Abstract:
For a stationary Gaussian process either almost all sample paths are almost everywhere differentiable or almost all sample paths are almost nowhere differentiable. In this paper it is shown by means of an example involving a random lacunary trigonometric series that "almost everywhere differentiable" and "almost nowhere differentiable" cannot in general be replaced by "everywhere differentiable" and "nowhere differentiable", respectively.
Keywords: stationary; Gaussian; processes; random; trigonometric; series; differentiability; everywhere; nowhere; almost; everywhere; almost; nowhere (search for similar items in EconPapers)
Date: 1975
References: Add references at CitEc
Citations:
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/0304-4149(75)90026-5
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:3:y:1975:i:3:p:283-286
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 ().