Regularization Paths for Cox's Proportional Hazards Model via Coordinate Descent 论文

2011Journal of Statistical Software引用 2575顶会
Statistical Methods and InferenceRisk and Portfolio OptimizationMachine Learning and Algorithms

摘要

penalties (elastic net). Our algorithm fits via cyclical coordinate descent, and employs warm starts to find a solution along a regularization path. We demonstrate the efficacy of our algorithm on real and simulated data sets, and find considerable speedup between our algorithm and competing methods.