Algorithms for Regression and Classification: Robust Regression and Genetic Association Studies

By Robin Nunkesser

The focus of this dissertation is on robust regression and classification in genetic association studies. In the context of robust regression, new exact algorithms, results for robust online scale estimation, and an evolutionary computation algorithm for different estimators in higher dimensions are presented. For classification in genetic association studies, this thesis describes a Genetic Programming algorithm that outpeforms the standard approaches on the considered data sets. This description may be from another edition of this product.

• Format: Paperback
• Language: English
• ISBN: 3837096041
• ISBN13: 9783837096040
• Release Date: April 2009
• Publisher: Books on Demand
• Length: 154 Pages
• Weight: 0.96 lbs.
• Dimensions: 0.3" x 7.0" x 10.0"