Abstract
A theme central to this book has been the use of roughness penalties to incorporate smoothing, whether in the context of using discrete data to define a smooth function in Chapter 3, functional principal components analysis in Chapter 7, or imposing regularity on estimated regression functions in Chapter 10 or on canonical variate weight functions in Chapter 12.
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© 1997 Springer Science+Business Media New York
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Ramsay, J.O., Silverman, B.W. (1997). More general roughness penalties. In: Functional Data Analysis. Springer Series in Statistics. Springer, New York, NY. https://doi.org/10.1007/978-1-4757-7107-7_15
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DOI: https://doi.org/10.1007/978-1-4757-7107-7_15
Publisher Name: Springer, New York, NY
Print ISBN: 978-1-4757-7109-1
Online ISBN: 978-1-4757-7107-7
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