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A note on conditional densities, Bayes' rule, and recent criticisms of Bayesian inference
When performing Bayesian inference, we frequently need to work with conditional probability densities. For example, the posterior function is the conditional density of the parameters given the data. Some might worry that conditional densities are ill-defined, considering that for a continuous rando
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