"Approximating Message Lengths of Hierarchical Bayesian Models Using ..."

Daniel F. Schmidt, Enes Makalic, John L. Hopper (2016)

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DOI: 10.1007/978-3-319-50127-7_41

access: closed

type: Conference or Workshop Paper

metadata version: 2022-10-02

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Daniel F. Schmidt, Enes Makalic, John L. Hopper:
Approximating Message Lengths of Hierarchical Bayesian Models Using Posterior Sampling. Australasian Conference on Artificial Intelligence 2016: 482-494

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