Trevor Hastie and Robert Tibshirani Generalized additive models for medical research

Additive Logistic Regression : a Statistical View

Regression shrinkage and selection via the Lasso: a retrospective

Presented at the RSS annual meeting 2010, Brighton, U.K. The work discussed here represents collaborations with many people, especially Bradley Efron, Jerome Friedman, Trevor Hastie, Holger Hoefling, Iain Johnstone, Ryan Tibshirani and Daniela Witten I would like to thank the research section of the Royal Statistical Society for inviting me to present this retrospective paper. In this paper I g...

Discussion of “the Dantzig selector”

Weighted Local Polynomial Regression, Weighted Additive Models and Local Scoring

This article describes the asymptotic properties of local polynomial regression estimators for univariate and additive models when observation weights are included. The implications of these ndings are discussed for local scoring estimators, a widely used class of estimators for generalized additive models described in Hastie and Tibshirani (1990).

Nuclear penalized multinomial regression with an application to predicting at bat outcomes in baseball