1Blurb:: Use the multilevel MCMC algorithm. 2 3Description:: 4Selects the multilevel algorithm described in \cite Prudencio. 5 6<b> Default Behavior </b> 7 8Five MCMC algorithm variants are supported: \c dram, \c 9delayed_rejection, \c adaptive_metropolis, \c metropolis_hastings, and 10\c multilevel. The default is \c dram. 11 12<b> Usage Tips </b> 13 14The multilevel algorithm is a more experimental algorithm than the 15other MCMC approaches mentioned above. It works well in cases where 16the prior can be "evolved" to a posterior in a structured way. 17Currently, the multilevel option is not in production form. 18 19Topics:: bayesian_calibration 20Examples:: 21\verbatim 22method, 23 bayes_calibration queso 24 multilevel 25 samples = 10000 seed = 348 26\endverbatim 27 28Theory:: 29Faq:: 30See_Also:: 31