Description
Survival regression is used to estimate the relation between time-to-event and feature variables, and is important in application domains such as medicine, marketing, risk management and sales management. Nonlinear tree based machine learning algorithms...
| Date made available | 2022 |
|---|---|
| Publisher | Taylor & Francis |
Research output
- 1 Article
-
Survival Regression with Accelerated Failure Time Model in XGBoost
Barnwal, A. & Cho, H., 2022, In: Journal of Computational and Graphical Statistics. 31, 4, p. 1292-1302 11 p.Research output: Contribution to journal › Article › peer-review
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