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Authors
Jacob Tiegs (0009-0001-6265-913X), Julia Raykin (0009-0006-1840-6991), Ilia Rochlin (0000-0001-7680-6965)
Citation
Tiegs et al., (2025). BART-Survival: A Bayesian machine learning approach to survival analyses in Python. Journal of Open Source Software, 10(105), 7213, https://doi.org/10.21105/joss.07213
@article{Tiegs2025,
doi = {10.21105/joss.07213},
url = {https://doi.org/10.21105/joss.07213},
year = {2025},
publisher = {The Open Journal},
volume = {10},
number = {105},
pages = {7213},
author = {Jacob Tiegs and Julia Raykin and Ilia Rochlin},
title = {BART-Survival: A Bayesian machine learning approach to survival analyses in Python},
journal = {Journal of Open Source Software}
}
Tags
Bayesian Machine Learning Survival Time to Event
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This work is licensed under a Creative Commons Attribution 4.0 International License.
