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On function-on-function regression: partial least squares approach

Beyaztas, Ufuk; Shang, Han Lin


Functional data analysis tools, such as function-on-function regression models, have received considerable attention in various scientific fields because of their observed high-dimensional and complex data structures. Several statistical procedures, including least squares, maximum likelihood, and maximum penalized likelihood, have been proposed to estimate such function-on-function regression models. However, these estimation techniques produce unstable estimates in the case of degenerate...[Show more]

CollectionsANU Research Publications
Date published: 2020-01-07
Type: Journal article
Source: Environmental and Ecological Statistics
DOI: 10.1007/s10651-019-00436-1
Access Rights: Open Access


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