Causal Trees
Linear Digressions
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Linear Digressions Podcast
linear digressions: How do we construct an unbiased estimator using this biased machine? Learning approach. The answer is, they call it like an honest method of estimating the effect size. It basically means you have to put half of your data set into a black box and not look at it until you're done. In terms of enabling you to both use this machine learning method and also to get unbiased estimates out of it, in the end, it's worth it.
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