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Table 1 Sampling algorithms and extensions implemented in BCM

From: BCM: toolkit for Bayesian analysis of Computational Models using samplers

Sampling algorithm Reference
Markov Chain Monte Carlo [6, 7]
 Parallel tempering [10]
 Adaptive proposals [11]
 Feedback-optimized temperatures [12]
 Thermodynamic integration [13]
 Automated parameter blocking [14]
Sequential Monte Carlo [8]
 MCMC proposals [8]
 Kernel density estimate proposals [8]
 Automated temperature schedule [15]
Nested sampling [9]
 MCMC proposals [9]
 Ellipsoid proposals [16]
 MultiNest [5]