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Virtual data and ANTIDATA

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Presentation on theme: "Virtual data and ANTIDATA"— Presentation transcript:

1 Virtual data and ANTIDATA
Carlos Rodriguez SUNY Albany. copyMEright by C. Rodriguez. Please copy me!

2 Inference

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5 Geometrization of Inference
q* Truth: t(x) Model: { p(x|q)} Geometrization of Inference

6 Embedding in Hilbert Space
Fisher Information metric automagically induced on the tangent bundle !

7 The Volume Form as Prior
A hypothesis space M is said to be regular when (M,g) is a smooth orientable riemannian manifold. A k-dim regular M has volume form: In arbitrary (orientation preserving) theta coordinates the volume of (M,g) is:

8 Ex: Simple Logistic Regression
Racine’s data Dose (log g/ml) x No. of animals n No. of deaths y -0.863 5 -0.296 1 -0.053 3 0.727 independent. log (odds of death) = a + b x logit(p) = log p/(1-p) Need: Ignorance Prior on (a,b)

9 Ignorance for Logistic Regression
Racine’s data MCMC: 1000 samples mean a = 0.091 sd = 3.94 corr[a,b] = 0.56 Mean b = 0.14 sd = 9.36 Ignorance for Logistic Regression

10 Posterior Inference Logistic Regression Racine’s data

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12 . end

13 To Herb


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