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Short term learning plan, 2021-01-01 edition

I didn't finish Statistical Rethinking 2ed yet, but that didn't dissuade me from planning the few books I'll be reading next. I'm trying to mix fundamentals, application and some business/management. Of course, many books will belong to more than one category, but my idea for classification is something like "I need this to understand other things", "things that I can use to build things" and "how to execute on the things I'm building". In random order: - Statistical Rethinking 2ed by Richard McElreath (WIP) [Application] - Measure What Matters by John Doerr (WIP) [Business] - This is Marketing by Seth Godin [Business] - Causal Inference, a Primer by Judea Pearl [Application] - Introduction to Linear Algebra 5ed by Gilbert Strang [Fundamentals] - Calculus, by Michael Spivak [Fundamentals] - Seven Sketches in Compositionality [Fundamentals] I expect to finish them all, ankifying throughout, this year. I just won't call it a New Year ...

Update on Bayesian Survival Analysis

 As it happens, in the same week that I asked for recommendations, Prof. McElreath pointed out in a tweet that his Statistical Rethinking Winter 2019 series has a section on Survival Analysis on Lecture 13. I stopped watching the lectures as soon I as I got my hands on the 2ed of the book, when I had just finished... Lecture 12 :( Link to the moment in the lecture where he covers the subject: Lecture 13 - Survival I also got two related leads in the same tweet thread: -  Tobit models - Censored Data on Stan User's Guide I'll make sure to check it all when I finish the book!

Recommendations for Bayesian Survival Analysis?

I'm currently finishing the magnificent Statistical Rethinking, 2ed by Richard McElreath, and I really wish there was a bayesian survival analysis themed book with the same intuitionist and practical approach for beginners. I know there's a book called Bayesian Survival Analysis by Ibrahim, Chen and Sinha, but from a quick glance in Google books, it doesn't seem as approachable as I'd like

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 This is a test