An Intro to Pymc and the Language for Describing Statistical Models

In our previous article on why most examples of Bayesian inference misrepresent what it is, we clarified a common misunderstanding among beginners of Bayesian Statistics. That is, the field of Bayesian Statistics IS NOT defined by its use of Bayes’ Theorem but rather by its use of probability distributions to characterize uncertainty and consider the full range of possible outcomes. So, for example, rather than being told that a given medical device is …

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