Applications of autoreproducing kernel grammian moduli to (U, H)-valued stationary random functions
B. Truong-Van
Journal of Multivariate Analysis, 1985, vol. 17, issue 1, 56-75
Abstract:
It is shown that the analytical characterizations of q-variate interpolable and minimal stationary processes obtained by H. Salehi (Ark. Mat., 7 (1967), 305-311; Ark. Mat., 8 (1968), 1-6; J. Math. Anal. Appl., 25 (1969), 653-662), and later by A. Weron (Studia Math., 49 (1974), 165-183), can be easily extended to Hilbert space valued stationary processes when using the two grammian moduli that respectively autoreproduce their correlation kernel and their spectral measure. Furthermore, for these processes, a Wold-Cramér concordance theorem is obtained that generalizes an earlier result established by H. Salehi and J. K. Scheidt (J. Multivar. Anal., 2 (1972), 307-331) and by A. Makagon and A. Weron (J. Multivar. Anal., 6 (1976), 123-137).
Keywords: Autoreproducing; kernel; grammian; moduli; Hellinger; integrals; Hilbert; space-valued; stationary; process; operator-valued; spectral; measure; interpolability; minimality; Wold-Cramer; concordance; theorem (search for similar items in EconPapers)
Date: 1985
References: Add references at CitEc
Citations:
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/0047-259X(85)90094-6
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:17:y:1985:i:1:p:56-75
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 ().