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

Learning Bayesian Statistics

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The Continuous Expansion of the Models

benjamen theory says that you should integrate over these uncertainties. So then continuously expanding your model would be, will then build a model whose extreme cases are the completable model. And by doing that, you're integrating over your uncertainty over what kind of model you have to use. I its super interesting and really good boin t indeed.

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