Forward stagewise regression and the monotone lasso
From MaRDI portal
Publication:2426793
DOI10.1214/07-EJS004zbMath1306.62176arXiv0705.0269OpenAlexW3105702746MaRDI QIDQ2426793
Jonathan E. Taylor, Guenther Walther, Robert Tibshirani, Trevor Hastie
Publication date: 14 May 2008
Published in: Electronic Journal of Statistics (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/0705.0269
Related Items
On stability issues in deriving multivariable regression models, A forward and backward stagewise algorithm for nonconvex loss functions with adaptive Lasso, An update on statistical boosting in biomedicine, Fully corrective gradient boosting with squared hinge: fast learning rates and early stopping, Unnamed Item, Characterizing \(L_{2}\)Boosting, Comment: Boosting algorithms: regularization, prediction and model fitting, Prediction of multivariate responses with a selected number of principal components, Efficient least angle regression for identification of linear-in-the-parameters models, Qini-based uplift regression, Regularization method for predicting an ordinal response using longitudinal high-dimensional genomic data, Least angle and \(\ell _{1}\) penalized regression: a review, On the differences between \(L_2\) boosting and the Lasso, Boosting high dimensional predictive regressions with time varying parameters, Feature selection method based on partial least squares and analysis of traditional Chinese medicine data, Adaptive step-length selection in gradient boosting for Gaussian location and scale models, Unnamed Item, Unnamed Item
