Resources for Bayesian modelling
It can be very difficult to find resources to guide Bayesian modelling that are intelligible to a beginner. I have found the following to be quite helpful.
In no particular order:
Winter, B., & Bürkner, P.-C. (2021). Poisson regression for linguists: A tutorial introduction to modelling count data with brms. Language and Linguistics Compass, 15(11), e12439.
Choosing weakly informative priors
Lemoine, N. P. (2019). Moving beyond noninformative priors: Why and how to choose weakly informative priors in Bayesian analyses. Oikos, 128(7), 912–928.