Hi
Can you somehow restrict your parameters in the dispersion matrix in MVN to be equal
e.g. equal variances or equal covariances in the general n x n case. In the 2 x 2 case you could use the trick
with the conditional formulation, but is there an easier solution when going to higher dimensions?
Also, how sentisive is the dispersion parameters from the starting values in the 'non-informative' Wishart prior with n degrees of freedom, looking at dispersion matrices of relative high dimensions e.g. n=10. Should one make an efffort to have good starting values from e.g . SAS proc mixed/glimmix.
best regards
Soren
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