Bayesian vs frequentist: updating beliefs versus long-run frequencies
mdancho84 · x · 2026-09-19
Part 4 of mdancho84's Bayesian series contrasts the two philosophies: Bayesian inference is about updating beliefs as new data arrives — intuitive and aligned with how we think about the world — while frequentist statistics interpret probability as long-run frequency. The author criticizes frequentist approaches for pre-determining distributions like the Gaussian, which doesn't always make sense.
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