Prior Distribution Insights
Connor delves into the nuances of uniform distributions, highlighting how a uniform prior on length differs from a uniform prior on volume. He emphasizes the importance of not relying solely on a uniform distribution as a prior, showcasing how it impacts model building and the interpretation of data.In this clip
From this podcast
Machine Learning Street Talk (MLST)
#037 - Tour De Bayesian with Connor Tann
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