.. _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




