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Examples
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Fudge Factor ri xi1 xi 2 ri di si s0 1 1 (xij xi1) 2 jC 1 (xij xi 2) 2 jC 2 si n n 1 2 n1 n2 2
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Fudge Factor ri xi1 xi 2 ri di si s0 1 1 (xij xi1) 2 jC 1 (xij xi 2) 2 jC 2 si n n 1 2 n1 n2 2
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Fudge Factor ri xi1 xi 2 ri di si s0 1 1 (xij xi1) 2 jC 1 (xij xi 2) 2 jC 2 si n n 1 2 n1 n2 2
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Fudge Factor ri xi1 xi 2 ri di si s0 1 1 (xij xi1) 2 jC 1 (xij xi 2) 2 jC 2 si n n 1 2 n1 n2 2
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Fudge Factor ri xi1 xi 2 ri di si s0 1 1 (xij xi1) 2 jC 1 (xij xi 2) 2 jC 2 si n n 1 2 n1 n2 2
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Fudge Factor ri xi1 xi 2 ri di si s0 1 1 (xij xi1) 2 jC 1 (xij xi 2) 2 jC 2 si n n 1 2 n1 n2 2
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(y − Xβ) T (y − Xβ) = min (yi − β0 − β1 xi1 − ... − βk xik), β β i = 1 namely ˆ β = (X T X) − 1
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Slide 15: Bayesian Core: A Practical Approach to Computational Bayesian Statistics Regression and variable selection Linear models Linear models Ordinary normal linear regression model such that y | β, σ 2, X ∼ Nn (Xβ, σ 2 In) and thus E [yi | β, X] = β0 + β1 xi1 + ... + βk xik V (yi | σ 2, X) = σ 2 207 / 785
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.., n, for instance patients in an hospital ward, on which both yi and xi1, ..., xik are measured.
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