Dear Vladimir:
Thank you for your help.
I think I will follow your suggestion for running DCM_IR in batch.
> 2. Last time, I asked about the magic number of 64 in DCM_IR. I did change
> it to larger numbers and it can run longer. My question is that when it
> stops and does not converge. It you run again with existing priors, I found
> the F starts from near 0, instead of continuing the existing number.
>Did you answer 'yes' to both questions 'Use previous priors?' and 'Use
>previous posteriors'? If not, you should.
Yes, I answered yes to both questions.
> My question is that, for the final F, is the F of previous 64 runs stored in
> the saved file or F is re-calculated?
>What's important is not the value of F but the parameter values at the
>end of previous optimization. They should be used if you say 'yes' to
>'use previous posteriors'.
I thought F, being the variational free-energy, is used for BMS?
> And can I use previous priors if I
> changes the weights, like A or B?
>You can, but it's not necessarily meaningful in this case. I don't see
>a reason to do it.
I used previous priors and posteriors for similar models because sometimes it really takes very long to converge if run from new prior and posterior. And I don't know whether there is other ways to change the initial conditions. But sometimes they produced different answers.
Sincerely,
Chou-Ching
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