Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/319368 
Year of Publication: 
2024
Citation: 
[Journal:] Journal of Time Series Analysis [ISSN:] 1467-9892 [Volume:] 46 [Issue:] 3 [Publisher:] John Wiley & Sons, Ltd [Place:] Oxford, UK [Year:] 2024 [Pages:] 582-595
Publisher: 
John Wiley & Sons, Ltd, Oxford, UK
Abstract: 
Estimating parameters of functional ARMA, GARCH and invertible processes requires estimating lagged covariance and cross‐covariance operators of Cartesian product Hilbert space‐valued processes. Asymptotic results have been derived in recent years, either less generally or under a strict condition. This article derives upper bounds of the estimation errors for such operators based on the mild condition Lp$$ {L}$$‐ m$$ m $$‐approximability for each lag, Cartesian power(s) and sample size, where the two processes can take values in different spaces in the context of lagged cross‐covariance operators. Implications of our results on eigen elements and parameters in functional AR(MA) models are also discussed.
Subjects: 
Asymptotics
Cartesian product space
covariance operator
cross‐covariance operator
estimation
functional time series
upper bounds
weak dependence
Persistent Identifier of the first edition: 
Creative Commons License: 
cc-by Logo
Document Type: 
Article
Document Version: 
Published Version

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