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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]