## Label-noise resistant logistic regression for functional data classification with an application to Alzheimer's disease study.

- Seokho Lee, Hyejin Shin, Sang Han Lee
- Biometrics
- 2016

Highly Influenced

@inproceedings{Lee2007RegularizationOC, title={Regularization of Case-Specific Parameters for Robustness and Efficiency}, author={Yoonkyung Lee and Steven N. MacEachern and Yoonsuh Jung}, year={2007} }

- Published 2007

Regularization methods allow one to handle a variety of inferential problems where there are more covariates than cases. This allows one to consider a potentially enormous number of covariates for a problem. We exploit the power of these techniques, supersaturating models by augmenting the “natural” covariates in the problem with an additional indicator for each case in the data set. We attach a penalty term for these case-specific indicators which is designed to produce a desired effect. For… CONTINUE READING