Bayes Theorem

📊 intermediate

$$P(A|B) = \frac{P(B|A)P(A)}{P(B)}$$

Conditional probability

Variables & Units

$P(A|B)$

Posterior

Unit: unitless

$P(B|A)$

Likelihood

Unit: unitless

$P(A)$

Prior

Unit: unitless

$P(B)$

Evidence

Unit: unitless

Key Information

📐 Derived From

Probability theory

💡 Example

Diagnosis

🔧 Applications

⚠️ Constraints

Non-zero probability

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