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.
I have a question about the book:
'Practical Smoothing - Eilers, Paul H.C. (Erasmus Universiteit Rotterdam), Marx, Brian D. (Louisiana State University)'.
Fill in the form below.
We will respond as fast as possible.
We value your privacy
We use cookies to measure traffic, improve Boekstra and let Google tailor ads to your interests. You can keep using the site either way — even if you decline. More info
