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Dakota Reference Manual
Version 6.12
Explore and Predict with Confidence
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Use an emulator or surrogate model to evaluate the likelihood function
Alias: none
Argument(s): none
Child Keywords:
Required/Optional | Description of Group | Dakota Keyword | Dakota Keyword Description | |
---|---|---|---|---|
Required (Choose One) | Emulator Type (Group 1) | gaussian_process | Gaussian Process surrogate model | |
pce | Polynomial Chaos Expansion surrogate model | |||
ml_pce | Multilevel Polynomial Chaos Expansion as an emulator model. | |||
mf_pce | Multifidelity Polynomial Chaos Expansion as an emulator model. | |||
sc | Stochastic Collocation as an emulator model. | |||
mf_sc | Multifidelity Stochastic Collocation as an emulator model. |
This keyword describes the type of emulator used when calculating the likelihood function for the Bayesian calibration. The emulator can be a Gaussian process, polynomial chaos expansion, or stochastic collocation.