Fig. 1
From: BCM: toolkit for Bayesian analysis of Computational Models using samplers
Overview of BCM. a The inference tool is the main component of BCM, providing three classes of algorithms for generating samples from posterior probability distributions and calculating estimates of the marginal likelihood. The parsing tool can optionally be used to generate the prior and likelihood files from a model description file and data. b Excerpt of a model description file. The model parsing tool can parse this file, load the relevant data, and output C++ source code for a dynamic library that evaluates the likelihood function. In this example, the “Simulate()” function still has to be implemented by the user with a desired simulation method