.. _method-bayes_calibration-wasabi-emulator-mf_sc: """"" mf_sc """"" Multifidelity Stochastic Collocation as an emulator model. .. toctree:: :hidden: :maxdepth: 1 method-bayes_calibration-wasabi-emulator-mf_sc-p_refinement method-bayes_calibration-wasabi-emulator-mf_sc-h_refinement method-bayes_calibration-wasabi-emulator-mf_sc-max_refinement_iterations method-bayes_calibration-wasabi-emulator-mf_sc-allocation_control method-bayes_calibration-wasabi-emulator-mf_sc-discrepancy_emulation method-bayes_calibration-wasabi-emulator-mf_sc-quadrature_order_sequence method-bayes_calibration-wasabi-emulator-mf_sc-sparse_grid_level_sequence method-bayes_calibration-wasabi-emulator-mf_sc-piecewise method-bayes_calibration-wasabi-emulator-mf_sc-askey method-bayes_calibration-wasabi-emulator-mf_sc-wiener method-bayes_calibration-wasabi-emulator-mf_sc-use_derivatives method-bayes_calibration-wasabi-emulator-mf_sc-diagonal_covariance method-bayes_calibration-wasabi-emulator-mf_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 | +----------------------------------------------+--------------------------------+-----------------------------------------------+ | Optional | `allocation_control`__ | Sample allocation approach for multifidelity | | | | expansions | +----------------------------------------------+--------------------------------+-----------------------------------------------+ | Optional | `discrepancy_emulation`__ | Formulation for emulation of model | | | | discrepancies. | +-------------------------+--------------------+--------------------------------+-----------------------------------------------+ | Required (Choose One) | Interpolation Grid | `quadrature_order_sequence`__ | Sequence of quadrature orders used in a | | | Type | | multi-stage expansion | | | +--------------------------------+-----------------------------------------------+ | | | `sparse_grid_level_sequence`__ | Sequence of sparse grid levels used in a | | | | | multi-stage expansion | +-------------------------+--------------------+--------------------------------+-----------------------------------------------+ | 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-mf_sc-p_refinement.html __ method-bayes_calibration-wasabi-emulator-mf_sc-h_refinement.html __ method-bayes_calibration-wasabi-emulator-mf_sc-max_refinement_iterations.html __ method-bayes_calibration-wasabi-emulator-mf_sc-allocation_control.html __ method-bayes_calibration-wasabi-emulator-mf_sc-discrepancy_emulation.html __ method-bayes_calibration-wasabi-emulator-mf_sc-quadrature_order_sequence.html __ method-bayes_calibration-wasabi-emulator-mf_sc-sparse_grid_level_sequence.html __ method-bayes_calibration-wasabi-emulator-mf_sc-piecewise.html __ method-bayes_calibration-wasabi-emulator-mf_sc-askey.html __ method-bayes_calibration-wasabi-emulator-mf_sc-wiener.html __ method-bayes_calibration-wasabi-emulator-mf_sc-use_derivatives.html __ method-bayes_calibration-wasabi-emulator-mf_sc-diagonal_covariance.html __ method-bayes_calibration-wasabi-emulator-mf_sc-full_covariance.html **Description** Selects a multifidelity stochastic collocation (MF SC) surrogate model to use in the Bayesian likelihood calculations. Most specification options are carried over for using MF SC as a surrogate within the Bayesian framework.