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Can anyone here recommend a good reference (blog, e-book, etc.) for beginners in Bayesian statistical analysis?




The only book accessible by beginners, while still dealing with real-world level analysis: https://www.amazon.com/Doing-Bayesian-Data-Analysis-Second/d...


Book:

- Information Theory, Inference and Learning Algorithms Textbook by David J. C. MacKay (free pdf: http://www.inference.phy.cam.ac.uk/itila/)

Other things:

- (the already mentioned http://camdavidsonpilon.github.io/Probabilistic-Programming-...)

- https://github.com/markdregan/Bayesian-Modelling-in-Python (a practical introduction to PyMC3)


Bayesian Logical Data Analysis for physical scientists by Phil Gregory is pretty good, particularly if you are some kind of scientist.

source: I TA'd a course in Data analysis, primarily bayesian, that used that as the textbook.


Statistical Rethinking (the lectures are available on youtube):

http://xcelab.net/rm/statistical-rethinking/




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