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Can AI save us from the perils of P-values? at Bayes@Lund 2023


After a three year hiatus, the Bayes@Lund mini-conference was back in 2023, this year arranged by Dmytro Perepolkin and Ullrika Sahlin. A day packed with interesting talks and good discussions, three highlights being the two keynote speakers, Aubrey Clayton (author of Bernoulli’s Fallacy: Statistical Illogic and the Crisis of Modern Science) and Mine Dogucu (co-author of Bayes Rules!), and the priorsense package presented by Noa Kallioinen. This package implements diagnostics showing how influential the prior and likelihood is in a Bayesian model telling you, for example, that what you thought was an uninformative prior isn’t that uninformative, at all.

I also presented the short, silly talk: Can AI save us from the perils of P-values? (Spoiler alert… No)

Posted by Rasmus Bååth | 2023-01-27 | Tags: Statistics, Bayesian