I was curious if anyone has good resources for Bayesian visualization? I’m doing some modelling for an academic paper and am using Hierarchical GLMs. I’m relatively new to using primarily Bayesian methods, but I’m turning to them more and more. My big question is how do people really visualize the inner-working of these models for academic papers? What do people tend to report and deem as necessary? My field (systems neuroscience) is much more in the frequentist regime and so I find that not all plots are well transferable. Hope this question makes sense.
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I think the best place to start is the Bayesian workflow paper, and while you’re reading take a look at Arviz. Though it’s long, that paper is very readable.
Jessica Hullman and Matthew Kay are two great places to start on thinking about this from an academic standpoint.
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