Bayesian Inference
★★★★☆Undergraduate
📖Definition
Statistical inference combining prior knowledge with data to compute posterior probability
📐Formulas
P(θ|data) ∝ P(data|θ) · P(θ)
Posterior ∝ Likelihood × Prior
Bayes factor: BF = P(data|M₁)/P(data|M₂)
✏️Examples
예제 1
Spam filter
예제 2
Medical diagnosis
예제 3
Recommendation systems
⚡Applications
Machine learning
Decision making
A/B testing
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