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Uncertainty Quantification (quoFEM) / Re: Bayesian Calibration -identical params in workdirs-
« on: June 08, 2022, 10:11:17 PM »
The most common reason for this to happen is that the number of requested samples is small in comparison to the number of parameters to be estimated. This can make the sample covariance matrix ill-conditioned, which causes difficulties when generating new sample points. As a result, during subsequent stages of the TMCMC algorithm, new sample points might not be accepted and each workdir will end up with the same parameter value.
However, since increasing the sample size to a larger number did not resolve the problem, I am not sure what could be the cause of the issue.. It would help if I can reproduce the issue, to diagnose the source of the problem. Sharing the model script or the contents of one of the workdirs will let me recreate the analysis on my machine and help identify the cause.
However, since increasing the sample size to a larger number did not resolve the problem, I am not sure what could be the cause of the issue.. It would help if I can reproduce the issue, to diagnose the source of the problem. Sharing the model script or the contents of one of the workdirs will let me recreate the analysis on my machine and help identify the cause.