Math — Bayesian Inference
Posterior, likelihood and prior.
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P(H \mid E) = \frac{P(E \mid H)P(H)}{P(E)}
\text{posterior} \propto \text{likelihood} \times \text{prior}
P(E) = \sum_i P(E \mid H_i)P(H_i)
\text{update belief with evidence}