منابع مشابه
Parsimonious additive models
We present a new method for function estimation and variable selection, specifically designed for additive models fitted by cubic splines. Our method involves regularizing additive models using the l1–norm, which generalizes Tibshirani’s lasso to the nonparametric setting. As in the linear case, it shrinks coefficients, some of them reducing exactly to zero. It gives parsimonious models, select...
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ژورنال
عنوان ژورنال: Computational Statistics & Data Analysis
سال: 2007
ISSN: 0167-9473
DOI: 10.1016/j.csda.2006.10.007