Handling Overlapping Asymmetric Data Sets—A Twice Penalized P-Spline Approach

Handling Overlapping Asymmetric Data Sets—A Twice Penalized P-Spline Approach

<b>Aims:</b> Overlapping asymmetric data sets are where a large cohort of observations have a small amount of information recorded, and within this group there exists a smaller cohort which have extensive further information available. Missing imputation is unwise if cohort size differs...

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Bibliographic Details
Main Authors: Matthew McTeer, Robin Henderson, Quentin M. Anstee, Paolo Missier
Format: Article
Language:English
Published: MDPI AG 2024-03-01
Series:Mathematics
Subjects:
P-Spline
penalized regression
smoothing
asymmetric data
B-Spline
non-Parametric
Online Access:https://www.mdpi.com/2227-7390/12/5/777

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https://www.mdpi.com/2227-7390/12/5/777

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