Hi everyone, I’m implementing a CAR proper model ( http://mc-stan.org/users/documentation/case-studies/mbjoseph-CARStan.html like this) in STAN, i have a 3700 areal data, so at the start the command multi_normal_prec was too slower (3 days for a simulation) but with the sparse implementation (in the…

For specifically this type of model, BUGS actually works ok, but we did some tests (there’s a very long thread here somewhere) and if memory serves, the implementation in that case study was faster than the one in BUGS. So in that sense it’s better. But BUGS is “sufficient”.

Can you tell me where is this thread? I searched but i’m not able to find it;thank’s a lot

Bugs vs Stan for areal data

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anon75146577 January 3, 2018, 5:45pm 4

I think it was this one Case study on spatial models for areal data - Poisson CAR/IAR

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Case study on spatial models for areal data - Poisson CAR/IAR Modeling	116	12041	July 12, 2018
How to accelerate spatial models on STAN Modeling techniques , fitting-issues , specification	7	1015	September 11, 2020
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Bugs vs Stan for areal data

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