.. _method-bayes_calibration-queso-adaptive_metropolis:

"""""""""""""""""""
adaptive_metropolis
"""""""""""""""""""


Use the Adaptive Metropolis MCMC algorithm



**Topics**


bayesian_calibration


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



**Specification**

- *Alias:* None

- *Arguments:* None

- *Default:* dram


**Description**


This keyword specifies the use of the Adaptive Metropolis algorithm.
That is, the "AM" part of DRAM is used but the "DR" part is not:
specifying this keyword activates only the Adaptive Metropolis part of
the MCMC algorithm, in which the covariance of the proposal density is
updated adaptively.

*Default Behavior*

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

Four MCMC variants are currently supported in MUQ: ``dram``,
``delayed_rejection``, ``metropolis_hastings`` and ``adaptive_metropolis``.

*Usage Tips*

If the user knows very little about the proposal covariance, but
doesn't want to incur the cost of using full dram with both delayed
rejection and adaptive metropolis, specifying only
``adaptive_metropolis`` offers a good strategy.



**Examples**



.. code-block::

    method,
            bayes_calibration queso
              adaptive_metropolis
              samples = 10000 seed = 348




