## Variable Selection for Sparse High-Dimensional Nonlinear Regression Models by Combining Nonnegative Garrote and Sure Independence Screening.

- Shuang Wu, Hongqi Xue, Yichao Wu, Hulin Wu
- Statistica Sinica
- 2014

Highly Influenced

Both HK1 and HK2 deal with experiments in which the planned analysis is based on a linear model. Selecting designs for such experiments remains a critically important problem. However, there are many problems for which a linear model may not be a great choice. For example, if the response is a binary variable or a count variable rather than a continuous… (More)

@inproceedings{Stufken2011OptimalDF,
title={Optimal Designs for Generalized Linear Models},
author={John Stufken and Min Yang},
year={2011}
}