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Lumifer comments on Open thread, Dec. 21 - Dec. 27, 2015 - Less Wrong
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You are severely confused about the basics. Please unconfuse yourself before getting to the criticism stage.
??? IlyaShpitser if I understand correctly is talking about creating a model of a prior, collecting evidence, and then determining whether the model is true or false. That's hypothesis testing, which is deduction; not induction.
You don't understand.
You have a (possibly infinite) set of hypotheses. You maintain beliefs about this set. As you get more data, your beliefs change. To maintain beliefs you need a distribution/density. To do that you need a model (a model is just a set of densities you consider). You may have a flexible model and let the data decide how flexible you want to be (non-parametric Bayes stuff, I don't know too much about it), but there's still a model.
Suggesting for the third and final time to get off the internet argument train and go read a book about Bayesian inference.
Oh, sorry I misunderstood your argument. That's an interesting solution.
That interesting solution is exactly what people doing Bayesian inference do. Any criticism you may have that doesn't apply to what Ilya describes isn't a criticism of Bayesian inference.