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Practical Smoothing: The Joys of Pā€splines.

Source :
International Statistical Review. Apr2022, Vol. 90 Issue 1, p191-192. 2p.
Publication Year :
2022

Abstract

During the last two decades, we have witnessed the data science revolution which resulted, among other things, in the abundance of statistical and, more general, data science literature aiming at developing methodologies for analysing massive and/or complex data. As mentioned before, I hope that in the future this website may gather a set of exercises/labs/data sets that would enhance the text into a textbook for in-class use. I Readership: i Statisticians, applied mathematicians and practitioners interested in learning the fundamentals of penalty-driven methods of spline smoothing, but also graduate and advanced undergraduate students taking a course in nonparametric regression methods. [Extracted from the article]

Details

Language :
English
ISSN :
03067734
Volume :
90
Issue :
1
Database :
Academic Search Index
Journal :
International Statistical Review
Publication Type :
Review
Accession number :
156112263
Full Text :
https://doi.org/10.1111/insr.12497