.. _method-bayes_calibration-gpmsa-proposal_covariance-prior-multiplier:

""""""""""
multiplier
""""""""""


Multiplier to scale prior variance


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



**Specification**

- *Alias:* None

- *Arguments:* REAL

- *Default:* 1.0


**Description**


The initial proposal covariance will be given by the prior variance
times the multiplier.

*Default Behavior*
When using prior-based proposal covariance, the default is to use the
prior variance for the proposal (multiplier = 1.0)

*Usage Tips*

The prior variance may result in too tight or narrow a proposal
covariance. The multiplier can be used to scale all entries of the
prior variance in determining the initial proposal covariance.



**Examples**



.. code-block::

    method
      bayes_calibration queso
        samples = 2000 seed = 348
        dram
        proposal_covariance prior
          multiplier 0.1