Dakota Reference Manual  Version 6.4
Large-Scale Engineering Optimization and Uncertainty Analysis
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Number of Markov Chain Monte Carlo posterior samples


Alias: samples

Argument(s): INTEGER

Default: method-dependent


The chain_samples keyword indicates the number of draws from the posterior distribution to perform. When an emulator is active, this will be the number of samples on the constructed surrogate model.

Default Behavior

The default number of chain samples is method-dependent. QUESO methods use 48576. DREAM uses (number of generations) x (number of chains).

Usage Tips

MCMC methods typically require a large number of chain samples to converge, often thousands to millions.


  bayes_calibration queso
    chain_samples = 20000