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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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What is an "uninformative prior"? Can we ever have one with truly no information?

Jeffreys distributions also suffer from inconsistencies: the Jeffreys priors for a variable over $(-\infty,\infty)$ or over $(0,\infty)$ are improper, which is not the case for the Jeffreys prior of a …
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