Approximating Message Lengths of Hierarchical Bayesian Models Using Posterior Sampling

Daniel F. Schmidt, Enes Makalic, John L. Hopper. Approximating Message Lengths of Hierarchical Bayesian Models Using Posterior Sampling. In Byeong Ho Kang, Quan Bai, editors, AI 2016: Advances in Artificial Intelligence - 29th Australasian Joint Conference, Hobart, TAS, Australia, December 5-8, 2016, Proceedings. Volume 9992 of Lecture Notes in Computer Science, pages 482-494, Springer, 2016. [doi]

Abstract

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