.. _method-bayes_calibration-muq-multilevel_mcmc: """"""""""""""" multilevel_mcmc """"""""""""""" Use the Multi-level MCMC algorithm **Topics** bayesian_calibration .. toctree:: :hidden: :maxdepth: 1 method-bayes_calibration-muq-multilevel_mcmc-initial_chain_samples method-bayes_calibration-muq-multilevel_mcmc-target_variance method-bayes_calibration-muq-multilevel_mcmc-greedy_resampling_factor method-bayes_calibration-muq-multilevel_mcmc-subsampling_steps **Specification** - *Alias:* None - *Arguments:* None - *Default:* dram **Child Keywords:** +-------------------------+--------------------+------------------------------+-----------------------------------------------+ | Required/Optional | Description of | Dakota Keyword | Dakota Keyword Description | | | Group | | | +=========================+====================+==============================+===============================================+ | Optional | `initial_chain_samples`__ | Number of initial samples for each level | +----------------------------------------------+------------------------------+-----------------------------------------------+ | Required | `target_variance`__ | Target variance for the greedy algorithm | +----------------------------------------------+------------------------------+-----------------------------------------------+ | Optional | `greedy_resampling_factor`__ | Greedy resampling factor | +----------------------------------------------+------------------------------+-----------------------------------------------+ | Optional | `subsampling_steps`__ | Number of samples at each level | +----------------------------------------------+------------------------------+-----------------------------------------------+ .. __: method-bayes_calibration-muq-multilevel_mcmc-initial_chain_samples.html __ method-bayes_calibration-muq-multilevel_mcmc-target_variance.html __ method-bayes_calibration-muq-multilevel_mcmc-greedy_resampling_factor.html __ method-bayes_calibration-muq-multilevel_mcmc-subsampling_steps.html **Description** Use the multi-level algorithm (:cite:p:`Seelinger2021ACM`) from the MUQ library.