What is it about?
A new and efficient method for variables selection for the commonly used functional linear concurrent model, useful when both the response and predictors are functional data.
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Why is it important?
Useful for dimension reduction and model selection.
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This page is a summary of: Variable selection in functional linear concurrent regression, Journal of the Royal Statistical Society Series C (Applied Statistics), May 2020, Wiley,
DOI: 10.1111/rssc.12408.
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