chain_samples
Number of Markov Chain Monte Carlo posterior samples
Specification
Alias: samples
Arguments: INTEGER
Default: method-dependent
Description
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 and MUQ methods use 1000. DREAM uses (number of generations) x (number of chains), resulting in chain_samples close to that specified.
Usage Tips
MCMC methods typically require a large number of chain samples to converge, often thousands to millions.
Examples
method
bayes_calibration queso
chain_samples = 20000