lol is this copypasta? i'm quite familiar with all of these toy examples of inference instead of point estimation. i'm talking about fitting models rather than descriptive statistics (or decision theory).
Commonly a model is being used primary to make better decisions. Specifically in the context of fitting models, Bayesian methods are really popular for hyperparameter tuning.
I guess my main point is that at least one reason people are using Bayesian methods is because they are dealing with problems that are qualitatively different than more prototypical prediction problems.
I guess my main point is that at least one reason people are using Bayesian methods is because they are dealing with problems that are qualitatively different than more prototypical prediction problems.