Bayesian Statistics

Throughout my life, I realized that I like a lot of things that start with a "B": Beer, Board games, Brains, Birbs, Blade Runner, and Bayesian stats. In a nutshell, moving from the frequentist (classic) statistical approach to the Bayesian one felt like moving from a toxic to a healthy relationship (or at least my biased perception tells me that).

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I'm, of course, no expert on Bayesian stats and, actually, I feel I have a more mature view about beers, certain board games (if you know Scythe, you can challenge me online), and Blade Runner than this beautiful framework. However, I was a newbie at some point and probably one of the most difficult tasks is to find the exact resource (paper, tutorial, etc) that I need. Fortunately, during my Bayesian "conversion" I found a lot of resources that might help you if you are new to Bayesian statistics, or if you are dealing with some specific issues. Here I present you my Bayesian starter(Prior?) pack:

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• Introduction to Bayesian stats: https://link.springer.com/article/10.3758/s13423-017-1343-3 

• Introduction to JASP: https://link.springer.com/article/10.3758/s13423-017-1323-7 

• A gentle introduction to Bayesian stats: https://srcd.onlinelibrary.wiley.com/doi/full/10.1111/cdev.12169 

• Discussion about Priors: http://www.stat.columbia.edu/~gelman/research/published/entropy-19-00555-v2.pdf 

• How to perform a regression in JASP: https://www.rensvandeschoot.com/tutorials/advanced-bayesian-regression-in-jasp/ 

• BRMS overview: https://cran.r-project.org/web/packages/brms/vignettes/brms_overview.pdf  

• How to perform a multilevel regression in BRMS: https://www.rensvandeschoot.com/tutorials/brms-started/  

• Estimate BFs with BRMS (AKA, hypothesis function): 

  • https://mvuorre.github.io/posts/2017-03-21-bayes-factors-with-brms/  

  • https://rstudio-pubs-static.s3.amazonaws.com/358672_09291d0b37ce43f08cf001cfd25c16c2.html#brmsbayes_factor-almost-all-models  

  • https://mvuorre.github.io/posts/2020-02-06-how-to-calculate-contrasts-from-a-fitted-brms-model/ 

• Bayesian power simulation: https://solomonkurz.netlify.app/post/bayesian-power-analysis-part-i/ 

You may be asking at this point "what's going on with that flamingo"... well, let me blow up your Bayesian expectations by telling you that she is my daughter and she goes by the name of "Prior". She is such a good girl <3

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