.. _method-bayes_calibration-muq-dili:

""""
dili
""""


Dimension-independent likelihood-informed MCMC




**Topics**


bayesian_calibration



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

   method-bayes_calibration-muq-dili-hessian_type
   method-bayes_calibration-muq-dili-adapt_interval
   method-bayes_calibration-muq-dili-adapt_start
   method-bayes_calibration-muq-dili-adapt_end
   method-bayes_calibration-muq-dili-initial_weight
   method-bayes_calibration-muq-dili-hess_tolerance
   method-bayes_calibration-muq-dili-lis_tolerance
   method-bayes_calibration-muq-dili-ses_num_eigs
   method-bayes_calibration-muq-dili-ses_rel_tol
   method-bayes_calibration-muq-dili-ses_abs_tol
   method-bayes_calibration-muq-dili-ses_exp_rank
   method-bayes_calibration-muq-dili-ses_overs_factor
   method-bayes_calibration-muq-dili-ses_block_size


**Specification**

- *Alias:* None

- *Arguments:* None

- *Default:* dram


**Child Keywords:**

+-------------------------+--------------------+----------------------+-----------------------------------------------+
| Required/Optional       | Description of     | Dakota Keyword       | Dakota Keyword Description                    |
|                         | Group              |                      |                                               |
+=========================+====================+======================+===============================================+
| Optional                                     | `hessian_type`__     | Parameter for the DILI MCMC algorithm in MUQ  |
+----------------------------------------------+----------------------+-----------------------------------------------+
| Optional                                     | `adapt_interval`__   | Parameter for the DILI MCMC algorithm in MUQ  |
+----------------------------------------------+----------------------+-----------------------------------------------+
| Optional                                     | `adapt_start`__      | Parameter for the DILI MCMC algorithm in MUQ  |
+----------------------------------------------+----------------------+-----------------------------------------------+
| Optional                                     | `adapt_end`__        | Parameter for the DILI MCMC algorithm in MUQ  |
+----------------------------------------------+----------------------+-----------------------------------------------+
| Optional                                     | `initial_weight`__   | Parameter for the DILI MCMC algorithm in MUQ  |
+----------------------------------------------+----------------------+-----------------------------------------------+
| Optional                                     | `hess_tolerance`__   | Parameter for the DILI MCMC algorithm in MUQ  |
+----------------------------------------------+----------------------+-----------------------------------------------+
| Optional                                     | `lis_tolerance`__    | Parameter for the DILI MCMC algorithm in MUQ  |
+----------------------------------------------+----------------------+-----------------------------------------------+
| Optional                                     | `ses_num_eigs`__     | Parameter for the stochastic eigensolver used |
|                                              |                      | by the DILI MCMC algorithm in MUQ             |
+----------------------------------------------+----------------------+-----------------------------------------------+
| Optional                                     | `ses_rel_tol`__      | Parameter for the stochastic eigensolver used |
|                                              |                      | by the DILI MCMC algorithm in MUQ             |
+----------------------------------------------+----------------------+-----------------------------------------------+
| Optional                                     | `ses_abs_tol`__      | Parameter for the stochastic eigensolver used |
|                                              |                      | by the DILI MCMC algorithm in MUQ             |
+----------------------------------------------+----------------------+-----------------------------------------------+
| Optional                                     | `ses_exp_rank`__     | Parameter for the stochastic eigensolver used |
|                                              |                      | by the DILI MCMC algorithm in MUQ             |
+----------------------------------------------+----------------------+-----------------------------------------------+
| Optional                                     | `ses_overs_factor`__ | Parameter for the stochastic eigensolver used |
|                                              |                      | by the DILI MCMC algorithm in MUQ             |
+----------------------------------------------+----------------------+-----------------------------------------------+
| Optional                                     | `ses_block_size`__   | Parameter for the stochastic eigensolver used |
|                                              |                      | by the DILI MCMC algorithm in MUQ             |
+----------------------------------------------+----------------------+-----------------------------------------------+

.. __: method-bayes_calibration-muq-dili-hessian_type.html
__ method-bayes_calibration-muq-dili-adapt_interval.html
__ method-bayes_calibration-muq-dili-adapt_start.html
__ method-bayes_calibration-muq-dili-adapt_end.html
__ method-bayes_calibration-muq-dili-initial_weight.html
__ method-bayes_calibration-muq-dili-hess_tolerance.html
__ method-bayes_calibration-muq-dili-lis_tolerance.html
__ method-bayes_calibration-muq-dili-ses_num_eigs.html
__ method-bayes_calibration-muq-dili-ses_rel_tol.html
__ method-bayes_calibration-muq-dili-ses_abs_tol.html
__ method-bayes_calibration-muq-dili-ses_exp_rank.html
__ method-bayes_calibration-muq-dili-ses_overs_factor.html
__ method-bayes_calibration-muq-dili-ses_block_size.html



**Description**


When the user selects 'bayesian_calibration muq' in the Dakota input file,
the occurrence of the 'dili' keyword will cause Dakota to use the DILI
algorithm (:cite:p:`Cui2016109`) from the MUQ library.