Prediction and fundamental moving averages for discrete multidimensional harmonizable processes
Marc H. Mehlman
Journal of Multivariate Analysis, 1992, vol. 43, issue 1, 147-170
Abstract:
The moving average representations of discrete multidimensional stationary processes are generalized to fundamental moving average representations of weakly harmonizable processes. For strongly harmonizable processes, necessary and sufficient conditions on covariance functions are obtained for the existence of such moving average representations. These are used in obtaining least squares prediction formulae for such processes.
Keywords: Harmonizable; processes; moving; averages; prediction (search for similar items in EconPapers)
Date: 1992
References: Add references at CitEc
Citations:
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/0047-259X(92)90114-U
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:jmvana:v:43:y:1992:i:1:p:147-170
Ordering information: This journal article can be ordered from
http://www.elsevier.com/wps/find/supportfaq.cws_home/regional
https://shop.elsevie ... _01_ooc_1&version=01
Access Statistics for this article
Journal of Multivariate Analysis is currently edited by de Leeuw, J.
More articles in Journal of Multivariate Analysis from Elsevier
Bibliographic data for series maintained by Catherine Liu ().