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#48 Mixed Effects Models & Beautiful Plots, with TJ Mahr

Learning Bayesian Statistics

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How Did You Feel When You Discovered That Mistake?

This last year, iave been really into generalized adative models. And i wrote like my magnum opus of a blog post, which is unpacking how generalized aditive models that are fitting smoothing lines are the thing as random effects. So you have ten predictors that are related, and you want to penalyze them so that they don't overfit the data. I'm wondering if thorees ike a method or a type of models that you particularly like and would like to share with us.

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