Bayes’ Theorem
updates the probability of an event using observed evidence.
symbols, variables and units
P(A): prior; P(B|A): likelihood; P(A|B): posterior; probability is dimensionless.
applicable conditions and boundaries
P(B)>0; each probability must come from a consistent sample space.
formula source code
The following is a copyable LaTeX expression.
P(A\mid B)=\frac{P(B\mid A)P(A)}{P(B)}Reference and Extended Learning
Harvard Stat 110 · Probability ↗is organized according to model definition and assumptions. Please check actual conditions and original literature before engineering, research and clinical use.
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