Hi! BUG users,
I'm trying to fit a spatial model with CAR prior.
As you know and followed by notation in GeoBUGS manual,
covariance matrix looks like this.
S = (I - rho*C)^-1 M
Then rho can control overall strength of spatial dependence,
which is assumed distributed as Uniform(min(eigenvalue of
C),max(eignenvalue of C)).
How I can get the posterior estimation value of rho?
For BUGS model, there is nowhere I can specify the rho.
S[1:N] ~ car.normal(adj[], weights[], num[], tau)
Maybe I understood these concepts in a wrong way,
since I'm a begginer in BUGS as well as Spatial statistics.
Thank you very much.
Jun
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