🎲
Bayes' Theorem
★★★★☆Undergraduate
📖Definition
A theorem for updating prior probability with new evidence to compute posterior probability.
📐Formulas
P(A|B) = (P(B|A) · P(A))/(P(B))
Bayes' theorem
P(B) = ∑ᵢ P(B|Aᵢ) P(Aᵢ)
Law of total probability
✏️Examples
예제 1★★★★☆
Test accuracy 99%, disease prevalence 1%. If positive, what's P(disease)?
📜History
Discovered by: Thomas Bayes (1763)
Published posthumously.
⚡Applications
Medicine
Diagnostic test interpretation
Machine Learning
Naive Bayes, Bayesian inference
Spam Filtering
Email classification
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