adam.m	Implements the ADAM algorithm in a generic form. Uses nominal_pdf.m, mcmc.m, S.m, stratified_split.m, and threshold.m.
Bayesian_split.m	Estimates the marginal likelihood for a certain Bayesian model using the ADAM algorithm. Uses adam.m.
mcmc.m	Implements sampling from the transition kernel for the Bayesian marginal likelihood problem. Used by adam.m.
nominal_pdf.m	Implements sampling from the nominal pdf. Used by adam.m.
S.m	Importance function for the Bayesian marginal likelihood problem. Used by adam.m.
stratified_split.m	Generates the splitting factors required in the ADAM algorithm via conditional Bernoulli random variables. Used by adam.m.
threshold.m	Implements the computation of the levels in the ADAM algorithm. Used by adam.m.

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