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SCAD-penalized regression in high-dimensional partially linear models
Asymptotic normality high-dimensional data oracle property penalized estimation semiparametric models variable selection
2010/3/19
We consider the problem of simultaneous variable selection and
estimation in partially linear models with a divergent number of covariates
in the linear part, under the assumption that the vector of...
Least angle and L1 penalized regression：A review
lasso regression regularization ℓ 1 penalty variable selection
2009/2/11
Least Angle Regression is a promising technique for variable selection applications, offering a nice alternative to stepwise regression. It provides an explanation for the similar behavior of LASSO (L...