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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