Bayes' rule
Bayes' rule reverses a conditional probability using a prior and evidence likelihood. The denominator normalizes the posterior and is often the computational challenge in probabilistic models.
P(A\mid B)=\frac{P(B\mid A)P(A)}{P(B)}
Overview. Bayes' rule reverses a conditional probability using a prior and evidence likelihood.
Context. The denominator normalizes the posterior and is often the computational challenge in probabilistic models.
Claims and evidence
Claim ledger, 2Bayes' rule reverses a conditional probability using a prior and evidence likelihood.
The denominator normalizes the posterior and is often the computational challenge in probabilistic models.