.. _method-bayes_calibration-queso-multilevel:

""""""""""
multilevel
""""""""""


Use the multilevel MCMC algorithm.



**Topics**


bayesian_calibration


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



**Specification**

- *Alias:* None

- *Arguments:* None

- *Default:* dram


**Description**


Selects the multilevel algorithm described in :cite:p:`Prudencio`.

*Default Behavior*

Five MCMC algorithm variants are supported: ``dram``,
``delayed_rejection``, ``adaptive_metropolis``, ``metropolis_hastings``, and
``multilevel``.  The default is ``dram``.

*Usage Tips*

The multilevel algorithm is a more experimental algorithm than the
other MCMC approaches mentioned above.  It works well in cases where
the prior can be "evolved" to a posterior in a structured way.
Currently, the multilevel option is not in production form.



**Examples**



.. code-block::

    method,
            bayes_calibration queso
              multilevel
              samples = 10000 seed = 348




