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