Contributions to statistical learning and its applications in personalized medicine
This dissertation, in general, is about finding stable solutions to statistical models with very large number of parameters and to analyze their asymptotic statistical properties. In particular, it is centered in the study of regularization methods based on penalized estimation. Those procedures fin...
| Main Author: | |
|---|---|
| Other Authors: | |
| Language: | en_US |
| Published: |
Georgia Institute of Technology
2013
|
| Subjects: | |
| Online Access: | http://hdl.handle.net/1853/49143 |