I don’t know if I’m missing something, but it sounds like you are discussing for a particular method of picking a prior within a Bayesian context, but you are not arguing against Bayes itself. If anything, it seems to me this is pro-Bayes, just using DIrilecht Processes as a prior.
SAS has developed their own trade-secret that outperforms all public methods; by definition, that MUST not be what YOU do when you apply Bayes to a few personal examples.
I don’t know if I’m missing something, but it sounds like you are discussing for a particular method of picking a prior within a Bayesian context, but you are not arguing against Bayes itself. If anything, it seems to me this is pro-Bayes, just using DIrilecht Processes as a prior.
Erm, is SAS using Bayes? That’s the actual best in class.
Well I don’t know SAS at all but a quick search of the SAS documentation for dirilecht calls it a “nonparametric Bayes approach”...
https://documentation.sas.com/doc/en/casactml/8.3/casactml_nonparametricbayes_details12.htm
SAS has developed their own trade-secret that outperforms all public methods; by definition, that MUST not be what YOU do when you apply Bayes to a few personal examples.