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Dakota Reference Manual
Version 6.12
Explore and Predict with Confidence
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Period at which to update derivative-based proposal covariance
Alias: none
Argument(s): INTEGER
For derivative-based proposal covariance, this specifies the period (number of accepted MCMC samples) after which the proposal covariance is updated using derivative values at the current chain point.
Default Behavior
When update_period
is not specified, derivatives will inform the proposal covariance at the start of the chain, but not updated further.
Usage Tips
The update_period
should be tailored to the size of the total chain, accounting for the relative expense of derivative-based proposal updates.
method, bayes_calibration queso samples = 2000 seed = 348 delayed_rejection emulator pce sparse_grid_level = 2 proposal_covariance derivatives update_period = 40 # update proposal covariance every 40 points