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Dakota Reference Manual
Version 6.16
Explore and Predict with Confidence
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Use the DRAM MCMC algorithm
This keyword is related to the topics:
Alias: none
Argument(s): none
Default: dram
The type of Markov Chain Monte Carlo used. This keyword specifies the use of DRAM, (Delayed Rejection Adaptive Metropolis) [39].
Default Behavior
Five MCMC algorithm variants are supported: dram, delayed_rejection, adaptive_metropolis, metropolis_hastings, and multilevel. The default is dram.
Usage Tips
If the user knows very little about the proposal covariance, using dram is a recommended strategy. The proposal covariance is adaptively updated, and the delayed rejection may help improve low acceptance rates.
method,
bayes_calibration queso
dram
samples = 10000 seed = 348