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gbradburd avatar gbradburd commented on September 15, 2024

SpaceMix uses an "auto-tuning" approach to adaptively update the scale of the various tuning parameters to aim for an optimal acceptance ratio (that's why the acceptance rate plot for the nugget parameters looks kind of like a dampened sine wave converging on 45%). So, if you're not seeing good mixing behavior, there's not much you can tweak to change the acceptance rate. You could try one of a few alternative approaches:

  1. increase the number of iterations. maybe the chain just needs more time?
  2. increase the number of "fast" initial runs, which may help the longer chain find a reasonable area of parameter space to explore.
  3. If you go with route 1, you could start from the last location in parameter space from another long run
  4. From the plot of the nugget parameters, it looks like you have a lot of samples. You could try dropping some, or collapsing some into a multi-individual sample (e.g., by location), which will certainly make things go faster, and may help improve mixing as well.

Sorry I don't see an easy fix here!

from spacemix.

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