Blurb::
Markov Chain Monte Carlo algorithms from the MUQ package
Description::
The ``muq`` method supports the following MCMC algorithms:
adaptive metropolis (AM), Metropolis Hasting (MH), delayed
rejection (DR), or delayed-rejection adaptive metropolis (DRAM).

The ``muq`` method is currently an experimental method that relies
on algorithms from MIT's MUQ code documented at:
https://bitbucket.org/mituq/muq2/src/master/

We anticipate using more advanced features of MUQ such as Hamiltonian
Monte Carlo and Langevin methods in future releases of Dakota.
Topics::
bayesian_calibration
Examples::

Theory::

Faq::

See_Also::
