Dakota Reference Manual  Version 6.12
Explore and Predict with Confidence
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emulator


Use an emulator or surrogate model to evaluate the likelihood function

Specification

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.

Description

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.