Blog - Bayesian Learning

P(θ|D)=P(θ,D)P(D)=P(D|θ)P(θ)θP(D|θ=θ)P(θ=θ)

Prior: P(θ).
Likelihood: P(D|θ)
Posterior: P(θ|D).
Marginal: P(D|θ=θ)P(D)
Joint Distribution: P(θ,D)

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