all AI news
PyDTS: A Python Package for Discrete-Time Survival (Regularized) Regression with Competing Risks. (arXiv:2204.05731v3 [stat.ML] UPDATED)
Aug. 5, 2022, 1:11 a.m. | Tomer Meir, Rom Gutman, Malka Gorfine
stat.ML updates on arXiv.org arxiv.org
Time-to-event analysis (survival analysis) is used when the outcome or the
response of interest is the time until a pre-specified event occurs.
Time-to-event data are sometimes discrete either because time itself is
discrete or due to grouping of failure times into intervals or rounding off
measurements. In addition, the failure of an individual could be one of several
distinct failure types; known as competing risks (events). This work focuses on
discrete-time regression with competing events. We emphasize the main
difference …
More from arxiv.org / stat.ML updates on arXiv.org
Jobs in AI, ML, Big Data
Lead GNSS Data Scientist
@ Lurra Systems | Melbourne
Senior Machine Learning Engineer (MLOps)
@ Promaton | Remote, Europe
Principal Engineer, Deep Learning
@ Outrider | Remote
Data Analyst (Bangkok based, relocation provided)
@ Agoda | Bangkok (Central World Office)
Data Scientist II
@ MoEngage | Bengaluru
Machine Learning Engineer
@ Sika AG | Welwyn Garden City, United Kingdom