I have some questions about LOO-IC:
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Can LOO-IC be used to compare models with the SAME likelihood but DIFFERENT priors? (assuming all of the pareto-k diagnostics are fine etc?)
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Can the LOO-IC be used to compare models with a DIFFERENT likelihood / parameterisation, and also DIFFERENT priors? (i’m pretty sure this is a “yes” as otherwise surely LOO-IC would not be very useful?!)
Also, I have the same questions but for the DIC.
- Yes, but do not use LOO-IC to select your priors. In particular, LOO-IC will prefer priors that are tightly concentrated around the point estimates that yield the best leave-one-out performance. There is no guarantee that the point estimates that yield maximal LOO performance are actually (very close to) the true parameter values.
- Yes.
For DIC we’ll have to let somebody else chime in, but I’m pretty confident the general attitude of this forum will be that you should prefer LOO-IC to DIC anyway.
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See Cross-validation FAQ questions 13, 22, and 23.
But also when using LOO, there is no sense in multiplying by -2 (there can be sense in multiplying by -1). CV-FAQ 23.
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