Multiple smoothing parameters selection in additive regression quantiles

We propose an iterative algorithm to select the smoothing parameters in additive quantile regression, wherein the functional forms of the covariate effects are unspecified and expressed via B-spline bases with difference penalties on the spline coefficients. The proposed algorithm relies on viewing...

Full description

Saved in:
Bibliographic Details
Published inStatistical modelling Vol. 21; no. 5; pp. 428 - 448
Main Authors Muggeo, Vito M.R., Torretta, Federico, Eilers, Paul H. C., Sciandra, Mariangela, Attanasio, Massimo
Format Journal Article
LanguageEnglish
Published New Delhi, India SAGE Publications 01.10.2021
Subjects
Online AccessGet full text

Cover

Loading…