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R Users Will Now Inevitably Become Bayesians

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There are several reasons why everyone isn’t using Bayesian methods for regression modeling. One reason is that Bayesian modeling requires more thought: you need pesky things like priors, and you can’t assume that if a procedure runs without throwing an error that the answers are valid. A second reason is that MCMC sampling — the bedrock of practical Bayesian modeling…
Original post: R Users Will Now Inevitably Become Bayesians
Source: R-bloggers