Dakota Reference Manual: sc

| Dakota Reference Manual Version 6.15 Explore and Predict with Confidence

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sc

Stochastic Collocation as an emulator model.

## Specification

Alias: none

Argument(s): none

Child Keywords:

| Required/Optional | Description of Group | Dakota Keyword | Dakota Keyword Description
--- | --- | --- | --- | ---
| Optional (Choose One) | Automated Refinement Type (Group 1) | 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 (Group 2) | 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 (Group 3) | 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 (Group 4) | 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.

## See Also

These keywords may also be of interest:

- stoch_collocation