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.