Singular Learning Theory Comprehensive - 3

·LessWrong··

IntroductionWe continue where we left off. We will now analyze the special case when the true distribution is regular for the statistical model. This covers the classical Bayesian statistics. We analyze the regular posterior distribution, and observe the universal structure that is the asymptotic behavior of this distribution. The theorem is akin to central limit theorem, called the Bayesian central limit theorem / Bernstein–von Mises theorem. We also look at the expansions of the observables in...

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