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Dakota Reference Manual
Version 6.15
Explore and Predict with Confidence
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Manually specify the burn in period for the MCMC chain.
Alias: none
Argument(s): INTEGER
Default: 0
The burn in period is the number of samples at the beginning of the MCMC chain that are discarded. The resulting chain is less dependent on the starting point of the chain.
Default Behavior
If not specified, no MCMC samples are discarded
Expected Output
If burn_in_samples
is specified, an additional tabular output file containing the final MCMC chain is generated.
Generate a chain of length 1000 and discard the first 100 points, resulting in a chain of length 900.
method, bayes_calibration queso chain_samples = 1000 seed = 348 dram proposal_covariance diagonal values 1.0e6 1.0e-1 burn_in_samples 100