Exercise 10.3 Example X.8: Assume in model M1 that (a) variances for random effects grow to infinity
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Exercise 10.3 Example X.8: Assume in model M1 that
(a) variances for random effects grow to infinity or
(b) variances for random effects grow to zero. This can be done by fixing the respective variances in the WinBUGS to
(a) large or
(b) small values. Evaluate the models with pD and DIC. How much evidence is there for the two extreme cases? How do you interpret these two extreme cases?
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