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#35 The Past, Present & Future of BRMS, with Paul Bürkner

Learning Bayesian Statistics

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How to Choose a Prior on the Latent Scale

In hierarchical models with complex di functions, or if you have a link function, even that it complicates everything in the choice of priors. And ye, also sometimes it useful and easy to think of the prior as relating to a variable of scientific interest. Ah, ye, i mean, tis as really fascinating and superhelpful for practitioners. Yes. But often in hierarchical models, often hyper priors wont have a real scientific meaning, and s will be superhard to choose them,. Even with papedictive checks, i agree.

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