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So does frequentist stats - they are just different axiomatic foundations and assumptions.


I'm less familiar with them - I've certainly seen many plausible frequentist arguments, but I've never been exposed to any unifying framework which would require that one make decisions based on type-1 error rate controlling hypothesis tests. That's not to say such foundations don't exist, I'm just happy being a philosophical Bayesian who sometimes does frequentist or algorithmic/ML things for practical reasons.




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