13.2 Consider the linear regression model, with Zellner's g-prior and the noninformative prior on 0'. p (
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13.2 Consider the linear regression model, with Zellner's g-prior and the noninformative prior on 0'. p ( d ) = I/&.
(a) Find the predictive distribution of Y at X = X, under model averaging in the linear regression model.
(b) What is the mean of the predictive distribution?
(c) What is the variance of Y in the predictive distribution under model averaging'?
(d) Rather than using Monte Carlo sampling, describe how one could construct a 95 percent prediction interval using the cumulative distribution functions under model averaging.
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Related Book For
Subjective And Objective Bayesian Statistics
ISBN: 9780471348436
2nd Edition
Authors: S. James Press
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