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Bayesian inference is a method of statistical inference that relies on treating the model parameters as random variables and applying Bayes' theorem to deduce subjective probability statements about the parameters or hypotheses, conditional on the observed dataset.

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Posterior probabilities of variables that aren't included in likelihood

Disclaimer: I'm not a statistician so I apologize if this is a trivial question or written in a way that convolutes ideas and abuses jargon. It seems like a problem that should be common but I haven' …
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