Practical Smoothing: The Joys of P-Splines

P-splines are widely used in statistics and machine learning for smoothing out noise in data and to avoid overtraining. This practical guide covers theory and a range of standard and non-standard applications with code in R for professionals and researchers looking for a simple, flexible and powerful smoothing tool.

Author: Paul H. C. Eilers, Brian D. Marx
Publisher: Cambridge University Press
Published: 03/18/2021
Pages: 208
Binding Type: Hardcover
Weight: 1.00lbs
Size: 9.20h x 7.80w x 0.60d
ISBN: 9781108482950

About the Author
Eilers, Paul H. C.: - Paul H. C. Eilers is Professor Emeritus of Genetical Statistics at the Erasmus University Medical Center Rotterdam. He received his Ph.D. in biostatistics. His research interests include high-throughput genomic data analysis, chemometrics, smoothing, longitudinal data analysis, survival analysis, and statistical computing. He has published extensively on these subjects.Marx, Brian D.: - Brian D. Marx is Professor in the Department of Experimental Statistics at Louisiana State University. He received his Ph.D. in statistics. His main research interests include smoothing, ill-conditioned regression problems, and high-dimensional chemometric applications, and he has numerous publications on these topics. He is currently serving as coordinating editor for the journal Statistical Modelling. He is coauthor of two books and is a Fellow of the American Statistical Association.