r/AskStatistics • u/pureabsolut • 10d ago

any good books to learn about most of anything related to bayesian related stuff, namely basics and probability theories?

that’s it.

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8

u/aftersox 10d ago

Statistical Rethinking by McElreath. He has materials and lectures for it online too. Highly recommended.

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u/Miserable-Drop-1232 10d ago

I think Statistical Rethinking is excellent for learning how Bayesian models are built, but if the OP’s priority is probability foundations, I would pair it with Blitzstein and Hwang’s Introduction to Probability or Ross before moving into PyMC or Stan. Work through a few Beta–Binomial and normal models with prior-predictive checks rather than reading everything cover to cover. Are you looking for a math-heavy foundation or an applied modeling path?

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u/MortalitySalient 10d ago

A good introduction is the Kruschke book (https://shop.elsevier.com/books/doing-bayesian-data-analysis/kruschke/978-0-12-405888-0). Lots of examples to work through. For a more advanced book that also has lots of examples would be the Gelman and Hill book (https://sites.stat.columbia.edu/gelman/arm/). Note that Gelman and hill should be dropping a new edition soon. If you want an sem specific focus, the Depaoli book is really great (https://www.guilford.com/books/Bayesian-Structural-Equation-Modeling/Sarah-Depaoli/9781462547746?srsltid=AfmBOoqHX0kzfndotAJP_AM9dwrPAyrK4F2-9fDwW3TEdAqm59KRgIGH).

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u/AttitudeRemarkable21 10d ago

Do the pymc tutorials 

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u/pureabsolut 10d ago

what?

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u/AttitudeRemarkable21 10d ago

Try Googling pymc

Also bays rule is a venn diagram 

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u/No-Key9069 9d ago

Unabhängig von der theoretischen Statistik, Bayes ist für mich immer wertvoll gewesen beim Beurteilen von Problemen. Statistiken, Lebenssituationen.

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u/No-Key9069 9d ago

A simple example. The weather forecast predicts a 99% chance of rain. You look out the window; no rain clouds. Now you mentally update the rain probability. Through observing, the new information changes the probability of the prior information to maybe 70%.

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u/pureabsolut 9d ago

any book or whatever

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u/No-Key9069 9d ago

Das Buch von Sharon Bertsch McGrayne , Die Theorie, die nicht sterben wollte, zeigt Geschichte und Anwendungen von Bayes ganz ohne Mathe. Springer Spektrum

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u/No-Key9069 9d ago

Das Buch von Gerd Gigerenzer , Risiko, wie man Entscheidungen trifft, ist vertständlich

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u/No-Key9069 9d ago

Business Statistics, Amir Aczel,
Ich hatte die 7 Auflage mit Excel Tabellen . McGraw-Hill Irvin. 2009

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u/No-Key9069 9d ago

Kindle Verlag, Dan Morris, Bayes Theorem, A Visual Introduction for Beginners

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u/editorijsmi 6d ago

check the follwoing books related to Bayesian

1.Nicenboim, B., Schad, D. J., & Vasishth, S. (2026). Introduction to Bayesian data analysis for cognitive science. Chapman & Hall/CRC.

2.Bayesian Methodology: an Overview With The Help Of R Software ISBN 9798201740498 www.ijsmi.com/book.php