Bad Pareto k diagnostic with good chain diagnostics

[jsocolar]

Perhaps this might help:

A quick note what I infer from p_loo and Pareto k values

This a quick note on different cases why Pareto k values can be large. I’ll try to extend this to a longer explanation and a case study. Any feedback on this draft is appreciated If all Pareto k small, model is likely to be ok (although there can be better models) If high Pareto k values If p_loo << the number of parameters p, then the model is likely to be misspecified. PPC is likely to detect the problem, too. Try using overdispersed model, or add more structural information (nonlinearity, …