A Bayesian t-test, again
Read OriginalThe article discusses Bayesian methods for two-sample mean comparisons, moving beyond traditional t-tests. It contrasts frequentist approaches (CLT, bootstrapping) with Bayesian alternatives like using weakly informative priors on summary statistics, Dirichlet process priors, and a novel 'martingale posterior' method that resamples data to generate posterior distributions for means without parametric models.
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