Numerical Bayesian Inference
This is a collection of posts in the Numerical Bayesian Inference series.
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From Priors to Predictions: An Intuitive Introduction to Bayesian Inference
An intuitive introduction to Bayesian inference, from Bayes' theorem and likelihoods to hands-on modelling with Gamma-distributed wait times. We show how Bayesian methods estimate full distributions over parameters, quantify uncertainty, and enable probabilistic predictions, wrapping up with a practical example using Stan.
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