Hi, This is a very general post.I have been trying to learn Bayesian Statistics for a while(~1 year on and off). It’s great that there are many good materials both online and offline. For reading and general reference, I have referred both Kruschke and Ben Lambert. My goal is to roughly cover the a…

we always recommend McElreath: http://xcelab.net/rm/statistical-rethinking/ as for specific models and general Bayesian workflow in Stan there’s the Stan User’s Guide: https://mc-stan.org/docs/stan-users-guide/index.html

Second this. All his lectures over multiple years are on YouTube as well, which are great complements to the textbook.

McElreath you tube lectures 2017 here: https://www.youtube.com/watch?v=oy7Ks3YfbDg&feature=youtu.be&list=PLDcUM9US4XdM9_N6XUUFrhghGJ4K25bFc

McElreath’s book is excellent. His 2019 lecture series is, I think, better because it covers more. However, some people I know struggle with McElreath’s book because he tries to teach Bayesian methods within a general modelling/scientific context. I enjoy this style, but some want to get a grip of …

I did go through Krushke’s and went through McElreath lectures.I have covered few exercises in both of them.Though, I feel like I don’t understand the subject enough to explain it convincingly to anyone or don’t feel confident in my approach while approaching problems @franzsf @mitzimorris

I would suggest getting the actual book of Statistical Rethinking (there is a new edition just out) to compliment the lectures. Reading through the first chapters does give a more detailed understanding of the fundamentals and it is actually quite engaging to read. I think it helps to treat it like …

reading two books and doing a few exercises is rarely enough to get a good understanding of the essential underlying problems, tools, and available techniques for any field. statistics requires a certain amount of math and general numerical reasoning. and practice. is there a particular domain th…

I started the same way. I thought Kruschke’s book is a great way to start, then McElreath’s book. Recently I read David MacKay’s Information Theory, Inference, and Learning Algorithms. I think its a little more challenging than those but it might be a good next step for you. It has great practice p…

@mitzimorris I don’t have a particular dataset I’m looking at. I did my bachelor’s in Maths and at least the ‘math’ part that I have across in these books are mostly rudimentary. I’m understanding that I’m hugely lacking the practice part. And would you suggest some possible ways to improve this as…

hi, if you’re coming from a maths background, then several of the Stan case studies would probably be useful, starting with: https://mc-stan.org/users/documentation/case-studies/pool-binary-trials.html - this case study explains that why of multi-level regression models. https://mc-stan.org/u…

How to learn Bayesian statistics?

General

Adam_Fleischhacker July 24, 2020, 11:28pm 19

Here is another generative DAG with the stats hidden. Its McElreath’s chimpanzees.

I find making these diagrams while going through Kruschke; McElreath; or Gelman, Hill, Vehtari to be very instructive.

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How to learn Bayesian statistics?

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