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...
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Published in | Statistical modelling Vol. 21; no. 5; pp. 428 - 448 |
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Main Authors | , , , , |
Format | Journal Article |
Language | English |
Published |
New Delhi, India
SAGE Publications
01.10.2021
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Subjects | |
Online Access | Get full text |
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