.. _method-bayes_calibration-wasabi-emulator-sc:

""
sc
""


Stochastic Collocation as an emulator model.


.. toctree::
   :hidden:
   :maxdepth: 1

   method-bayes_calibration-wasabi-emulator-sc-p_refinement
   method-bayes_calibration-wasabi-emulator-sc-h_refinement
   method-bayes_calibration-wasabi-emulator-sc-max_refinement_iterations
   method-bayes_calibration-wasabi-emulator-sc-quadrature_order
   method-bayes_calibration-wasabi-emulator-sc-sparse_grid_level
   method-bayes_calibration-wasabi-emulator-sc-piecewise
   method-bayes_calibration-wasabi-emulator-sc-askey
   method-bayes_calibration-wasabi-emulator-sc-wiener
   method-bayes_calibration-wasabi-emulator-sc-use_derivatives
   method-bayes_calibration-wasabi-emulator-sc-diagonal_covariance
   method-bayes_calibration-wasabi-emulator-sc-full_covariance


**Specification**

- *Alias:* None

- *Arguments:* None


**Child Keywords:**

+-------------------------+--------------------+-------------------------------+-----------------------------------------------+
| Required/Optional       | Description of     | Dakota Keyword                | Dakota Keyword Description                    |
|                         | Group              |                               |                                               |
+=========================+====================+===============================+===============================================+
| Optional (Choose One)   | Automated          | `p_refinement`__              | Automatic polynomial order refinement         |
|                         | Refinement Type    +-------------------------------+-----------------------------------------------+
|                         |                    | `h_refinement`__              | Employ h-refinement to refine the grid        |
+-------------------------+--------------------+-------------------------------+-----------------------------------------------+
| Optional                                     | `max_refinement_iterations`__ | Maximum number of expansion refinement        |
|                                              |                               | iterations                                    |
+-------------------------+--------------------+-------------------------------+-----------------------------------------------+
| Required (Choose One)   | Interpolation Grid | `quadrature_order`__          | Order for tensor-products of Gaussian         |
|                         | Type               |                               | quadrature rules                              |
|                         |                    +-------------------------------+-----------------------------------------------+
|                         |                    | `sparse_grid_level`__         | Level to use in sparse grid integration or    |
|                         |                    |                               | interpolation                                 |
+-------------------------+--------------------+-------------------------------+-----------------------------------------------+
| Optional (Choose One)   | Basis Polynomial   | `piecewise`__                 | Use piecewise local basis functions           |
|                         | Family             +-------------------------------+-----------------------------------------------+
|                         |                    | `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            |
+-------------------------+--------------------+-------------------------------+-----------------------------------------------+

.. __: method-bayes_calibration-wasabi-emulator-sc-p_refinement.html
__ method-bayes_calibration-wasabi-emulator-sc-h_refinement.html
__ method-bayes_calibration-wasabi-emulator-sc-max_refinement_iterations.html
__ method-bayes_calibration-wasabi-emulator-sc-quadrature_order.html
__ method-bayes_calibration-wasabi-emulator-sc-sparse_grid_level.html
__ method-bayes_calibration-wasabi-emulator-sc-piecewise.html
__ method-bayes_calibration-wasabi-emulator-sc-askey.html
__ method-bayes_calibration-wasabi-emulator-sc-wiener.html
__ method-bayes_calibration-wasabi-emulator-sc-use_derivatives.html
__ method-bayes_calibration-wasabi-emulator-sc-diagonal_covariance.html
__ method-bayes_calibration-wasabi-emulator-sc-full_covariance.html



**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.