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Dakota Reference Manual
Version 6.12
Explore and Predict with Confidence
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Use the multilevel MCMC algorithm.
This keyword is related to the topics:
Alias: none
Argument(s): none
Default: dram
Selects the multilevel algorithm described in[72].
Default Behavior
Five MCMC algorithm variants are supported: dram
, delayed_rejection
, adaptive_metropolis
, metropolis_hastings
, and multilevel
. The default is dram
.
Usage Tips
The multilevel algorithm is a more experimental algorithm than the other MCMC approaches mentioned above. It works well in cases where the prior can be "evolved" to a posterior in a structured way. Currently, the multilevel option is not in production form.
method, bayes_calibration queso multilevel samples = 10000 seed = 348