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#37 Prophet, Time Series & Causal Inference, with Sean Taylor

Learning Bayesian Statistics

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Using Models to Model a Problem

Inbasian models are sort of like gradual weakening of priors. And i think that's been a very powerful idea to start to think about the bias farien trade off more explicitly in modelling. Ad, making that connection was a really big intellectual leap for me. I think of modelss like containers that hold data. So you're chiseling out an empty space for your data to kind of be poured into a mould. And and that's fun to think about. There's a real sort of art to it that i really enjoy.

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