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    The Likelihood Ratio Convergence Theorem draws only on li... — Carmelics
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    Supports→Likelihoodists, who reject Bayesian prior probabilities, may still embrace the Likelihood Ratio Convergence Theorem.

    The Likelihood Ratio Convergence Theorem draws only on likelihoods.

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    Likelihoodists, who reject Bayesian prior probabilities, may still embrace the L...The statement and proof of the Likelihood Ratio Convergence Theorem do not emplo...

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    The theorem itself does not require the full apparatus of Bayesian probability functions. It draws only on likelihoods. Neither the statement of the theorem nor its proof employ prior probabilities of any kind. So even likelihoodists, who eschew the use of Bayesian prior probabilities, may embrace this result. Given the forms of Bayes’ Theorem, 9*-11 from the previous section, the Likelihood Ratio Convergence Theorem further implies the likely convergence to 0 of the posterior probabilities of f

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