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A Gentle Introduction to Bayesian Statistics and Modeling

Code and examples for a workshop on Bayesian statistics and probabilistic programming.

Resources for learning Bayesian statistics

Richard McElreath's course on "Statistical Rethinking"; variants of example code available in python (pymc), R, and Julia.

Andrew Gelman's book Bayesdian Data Analysis.

Jose Storopoli's online tutorial using the Julia probabilistic programming language Turing.jl.

Geir Evensen's book on Data Assimilation Fundamentals for those interested in applying Bayesian stats to dynamical models.

If you have any further suggestions for resources to add here, please create an issue to let me know!

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