I've just found the paper called "The JASP Guidelines for Conducting & Reporting a Bayesian Analysis" and I'm really enjoying the read. It's so clearly written, and so easy to follow. It mentions assumptions for Bayesian analyses thought which I wasn't familiar with despite having read "Bayesian Inference for Psychology" Parts I and II, and other Bayesian papers.
Is there a good paper that goes over the assumptions? Are Bayesian assumptions very different from frequentist ones?
Also, I noticed that the dependent variable used in the Stereogram example is log-transformed. Was this done because of the non-normality of the data? It's not mentioned in the pre-print (I think it's a pre-print). Is transformation mandatory, even when you're using the Mann-Whitney test