.. _method-bayes_calibration-wasabi:

""""""
wasabi
""""""


(Experimental Method) Non-MCMC Bayesian inference using interval analysis


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

   method-bayes_calibration-wasabi-pushforward_samples
   method-bayes_calibration-wasabi-seed
   method-bayes_calibration-wasabi-emulator
   method-bayes_calibration-wasabi-standardized_space
   method-bayes_calibration-wasabi-data_distribution
   method-bayes_calibration-wasabi-posterior_samples_import_filename
   method-bayes_calibration-wasabi-generate_posterior_samples
   method-bayes_calibration-wasabi-evaluate_posterior_density


**Specification**

- *Alias:* None

- *Arguments:* None


**Child Keywords:**

+-------------------------+--------------------+---------------------------------------+---------------------------------------------+
| Required/Optional       | Description of     | Dakota Keyword                        | Dakota Keyword Description                  |
|                         | Group              |                                       |                                             |
+=========================+====================+=======================================+=============================================+
| Required                                     | `pushforward_samples`__               | (Experimental Capability) Number of samples |
|                                              |                                       | of the prior to push forward through the    |
|                                              |                                       | model                                       |
+----------------------------------------------+---------------------------------------+---------------------------------------------+
| Optional                                     | `seed`__                              | Seed of the random number generator         |
+----------------------------------------------+---------------------------------------+---------------------------------------------+
| Optional                                     | `emulator`__                          | Use an emulator or surrogate model to       |
|                                              |                                       | evaluate the likelihood function            |
+----------------------------------------------+---------------------------------------+---------------------------------------------+
| Optional                                     | `standardized_space`__                | Perform Bayesian inference in standardized  |
|                                              |                                       | probability space                           |
+----------------------------------------------+---------------------------------------+---------------------------------------------+
| Required                                     | `data_distribution`__                 | (Experimental Capability) Specify the       |
|                                              |                                       | distribution of the experimental data       |
+----------------------------------------------+---------------------------------------+---------------------------------------------+
| Optional                                     | `posterior_samples_import_filename`__ | (Experimental Capability) Filename for      |
|                                              |                                       | samples at which the user would like the    |
|                                              |                                       | posterior density calculated                |
+----------------------------------------------+---------------------------------------+---------------------------------------------+
| Optional                                     | `generate_posterior_samples`__        | (Experimental Capability) Generate random   |
|                                              |                                       | samples from the posterior density          |
+----------------------------------------------+---------------------------------------+---------------------------------------------+
| Optional                                     | `evaluate_posterior_density`__        | (Experimental Capability) Evaluate the      |
|                                              |                                       | posterior density and output to the         |
|                                              |                                       | specified file                              |
+----------------------------------------------+---------------------------------------+---------------------------------------------+

.. __: method-bayes_calibration-wasabi-pushforward_samples.html
__ method-bayes_calibration-wasabi-seed.html
__ method-bayes_calibration-wasabi-emulator.html
__ method-bayes_calibration-wasabi-standardized_space.html
__ method-bayes_calibration-wasabi-data_distribution.html
__ method-bayes_calibration-wasabi-posterior_samples_import_filename.html
__ method-bayes_calibration-wasabi-generate_posterior_samples.html
__ method-bayes_calibration-wasabi-evaluate_posterior_density.html



**Description**


Offers an alternative to Markov Chain Monte Carlo-based Bayesian
inference.  This is a nascent capability, not yet ready for production
use.

*Usage Guidelines:* The WASABI method requires an emulator model.

*Attention:* While the ``emulator`` specification for WASABI
includes the keyword posterior_adaptive, it is not yet operational.



**Examples**



.. code-block::

    method
      bayes_calibration
        wasabi