Dakota Reference Manual: emulator

| Dakota Reference Manual Version 6.15 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.