Predictive probabilities for normal outcomes John Cook September 15, 2011 Suppose Y ∼ normal(θ, σ 2 ) and a priori θ ∼ normal(µ, τ ). After observing y1 , y2 , . . . , yn the posterior distribution on θ is norm - Posterior predictive distribution - Document - PDFSEARCH.IO

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	Predictive probabilities for normal outcomes John Cook September 15, 2011 Suppose Y ∼ normal(θ, σ 2 ) and a priori θ ∼ normal(µ, τ ). After observing y1 , y2 , . . . , yn the posterior distribution on θ is norm Add to Reading List Document Date: 2013-07-09 18:22:24 Open Document File Size: 120,81 KB Share Result on Facebook Person John Cook / / ProgrammingLanguage R / / SocialTag Estimation theory Statistical inference Allan variance Statistics Normal distribution Variance

Predictive probabilities for normal outcomes John Cook September 15, 2011 Suppose Y ∼ normal(θ, σ 2 ) and a priori θ ∼ normal(µ, τ ). After observing y1 , y2 , . . . , yn the posterior distribution on θ is normAdd to Reading List