sc

Stochastic Collocation as an emulator model.

Specification

  • Alias: None

  • Arguments: None

Child Keywords:

Required/Optional

Description of Group

Dakota Keyword

Dakota Keyword Description

Optional (Choose One)

Automated Refinement Type

p_refinement

Automatic polynomial order refinement

h_refinement

Employ h-refinement to refine the grid

Optional

max_refinement_iterations

Maximum number of expansion refinement iterations

Required (Choose One)

Interpolation Grid Type

quadrature_order

Order for tensor-products of Gaussian quadrature rules

sparse_grid_level

Level to use in sparse grid integration or interpolation

Optional (Choose One)

Basis Polynomial Family

piecewise

Use piecewise local basis functions

askey

Select the standardized random variables (and associated basis polynomials) from the Askey family that best match the user-specified random variables.

wiener

Use standard normal random variables (along with Hermite orthogonal basis polynomials) when transforming to a standardized probability space.

Optional

use_derivatives

Use derivative data to construct surrogate models

Optional (Choose One)

Covariance Type

diagonal_covariance

Display only the diagonal terms of the covariance matrix

full_covariance

Display the full covariance matrix

Description

Selects stochastic collocation (SC) model to use in the Bayesian likelihood calculations. Most specification options are carried over for using SC as a surrogate within the Bayesian framework.