Harvard's free programming classes teach you how to think, debug, and adapt in an AI-driven world where knowing code matters more than ever.
This project contains a set of tutorials on how to perform descriptive and inferential (Bayesian and Frequentist) discrete-time event history analysis (EHA; a.k.a. hazard analysis, survial analysis, ...
We will keep our notes and code on dealing with censored variables in Bayesian models in this repo. My initial idea for this is that we can basically treat each worked out example or section that we ...
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