.. _method-bayes_calibration-queso-emulator-pce: """ pce """ Polynomial Chaos Expansion surrogate model .. toctree:: :hidden: :maxdepth: 1 method-bayes_calibration-queso-emulator-pce-p_refinement method-bayes_calibration-queso-emulator-pce-max_refinement_iterations method-bayes_calibration-queso-emulator-pce-quadrature_order method-bayes_calibration-queso-emulator-pce-sparse_grid_level method-bayes_calibration-queso-emulator-pce-cubature_integrand method-bayes_calibration-queso-emulator-pce-expansion_order method-bayes_calibration-queso-emulator-pce-orthogonal_least_interpolation method-bayes_calibration-queso-emulator-pce-import_expansion_file method-bayes_calibration-queso-emulator-pce-askey method-bayes_calibration-queso-emulator-pce-wiener method-bayes_calibration-queso-emulator-pce-normalized method-bayes_calibration-queso-emulator-pce-export_expansion_file method-bayes_calibration-queso-emulator-pce-diagonal_covariance method-bayes_calibration-queso-emulator-pce-full_covariance **Specification** - *Alias:* None - *Arguments:* None **Child Keywords:** +-------------------------+--------------------+-------------------------------+---------------------------------------------+ | Required/Optional | Description of | Dakota Keyword | Dakota Keyword Description | | | Group | | | +=========================+====================+===============================+=============================================+ | Optional | `p_refinement`__ | Automatic polynomial order refinement | +----------------------------------------------+-------------------------------+---------------------------------------------+ | Optional | `max_refinement_iterations`__ | Maximum number of expansion refinement | | | | iterations | +-------------------------+--------------------+-------------------------------+---------------------------------------------+ | Optional (Choose One) | Basis Polynomial | `askey`__ | Select the standardized random variables | | | Family | | (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 | `normalized`__ | The normalized specification requests | | | | output of PCE coefficients that correspond | | | | to normalized orthogonal basis polynomials | +----------------------------------------------+-------------------------------+---------------------------------------------+ | Optional | `export_expansion_file`__ | Export the coefficients and multi-index of | | | | a Polynomial Chaos Expansion (PCE) to a | | | | file | +-------------------------+--------------------+-------------------------------+---------------------------------------------+ | 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-queso-emulator-pce-p_refinement.html __ method-bayes_calibration-queso-emulator-pce-max_refinement_iterations.html __ method-bayes_calibration-queso-emulator-pce-askey.html __ method-bayes_calibration-queso-emulator-pce-wiener.html __ method-bayes_calibration-queso-emulator-pce-normalized.html __ method-bayes_calibration-queso-emulator-pce-export_expansion_file.html __ method-bayes_calibration-queso-emulator-pce-diagonal_covariance.html __ method-bayes_calibration-queso-emulator-pce-full_covariance.html **Description** Selects a polynomial chaos expansion (PCE) surrogate model to use in the Bayesian likelihood calculations. Most specification options are carried over for using PCE as a surrogate within the Bayesian framework.