For context, I'm not taking sides in the frequentist-vs-Bayesian debate, but coming from a practical problem: I'm working on a INTRO TO STATS book right now, and I would like to include a chapter on Bayesian statistics, but I'm not sure what specific analyses to showcase and recommend as "standard" approaches. Unlike the canonical t-tests and ANOVAs of frequentists, Bayesian statistics doesn't have canonical procedures (that I know of) that I can wholeheartedly recommend as "must know" and ready to use broadly.
Maybe someone here might have suggestions?
The closest thing that comes to mind is "Bayes factors," which has some traction (usage), but apparently they have lots of problems and limitations too, cf. https://www.youtube.com/watch?v=MqeWpR6S4XA
Maybe someone here might have suggestions?
The closest thing that comes to mind is "Bayes factors," which has some traction (usage), but apparently they have lots of problems and limitations too, cf. https://www.youtube.com/watch?v=MqeWpR6S4XA