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Re:Measure code execution time accurately in Python by derefr on Saturday January 18, 2020 @12:48PM (#22085779)
Very interesting. It sounds to me like this approach exists outside any kind of Bayesian learning framework; i.e. an individual Bayesian agent couldn’t be expected to converge to a correct model here. Is that true?

I would hazard that the RANSAC method sounds a lot like what you’d get out of a larger hybrid model, where e.g. many Bayesian agents with different priors are bred under a genetic algorithm after being ranked by their predictive power. (Like humans surviving to reproduce and pass down models to their children!)

Re:Measure code execution time accurately in Python by cscheid on Saturday January 18, 2020 @12:57PM (#22085832)
As far as i understand it the RANSAC arguments are very much not Bayesian (they're all about "if you repeat this an infinite number of times under an infinite number of new samples, then...", which is almost caricaturely frequentist).

Still, you just gave me reason to mention one of my favorite "no, that won't work either" paper :) on how Bayes will not save you in the presence of model misspecification. Instead of butchering it any further, I'll just point you to this piece explaining the work, written by the author of the paper himself: http://bactra.org/weblog/601.html