Dakota Reference Manual  Version 6.4
Large-Scale Engineering Optimization and Uncertainty Analysis
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burn_in_samples


Manually specify the burn in period for the MCMC chain.

Specification

Alias: none

Argument(s): INTEGER

Default: 0

Description

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.

Examples

An example method block of a Dakota input file is given below

method,
    bayes_calibration queso
      chain_samples = 1000 seed = 348
      dram
    proposal_covariance
      diagonal values 1.0e6 1.0e-1
    burn_in_samples 100