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Title | Austin |
Description | Revisiting Bayesian Survival Analysis in Python with {Math, Data, |
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WebSite | austinrochford.com |
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Austin Rochford Posts Tags About Talks Reading Log Revisiting Bayesian Survival Analysis in Python with PyMC Austin Rochford 2023-01-10 Recently during an interview to promote the upcoming PyMCon Web Series (for which I am mentoring one of the first round of presenters), my friend Ravin Kumar kindly mentioned that a 2015 post of mine, Bayesian Survival Analysis in Python with PyMC3 , drove a lot of his early interest in PyMC. Ravin’s comment caused me to revisit the post and realize how out of date it is. In the seven years since it was published, there have been advances along many fronts: PyMC is now on version 5; in 2015 I was using version 3 for that post. Since that time Theano has been deprecated, PyMC considered alternate backends for some time, Aesara was forked from Theano, and finally PyTensor was forked from Aesara. Not only has the backend for tensor computation evolved, the PyMC API has been improved and expanded significantly over the past seven years. ArviZ development |
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