Regularization Paths for Cox's Proportional Hazards Model via Coordinate Descent
We introduce a pathwise algorithm for the Cox proportional hazards model, regularized by convex combinations of l_1 and l_2 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.
Year of publication: |
2011-03-09
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Authors: | Simon, Noah ; Friedman, Jerome H. ; Hastie, Trevor ; Tibshirani, Rob |
Published in: |
Journal of Statistical Software. - American Statistical Association. - Vol. 39.2011, i05
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Publisher: |
American Statistical Association |
Saved in:
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