Minimum Message Length Inference and Mixture Modelling of Inverse Gaussian Distributions

Daniel F. Schmidt, Enes Makalic. Minimum Message Length Inference and Mixture Modelling of Inverse Gaussian Distributions. In Michael Thielscher, Dongmo Zhang, editors, AI 2012: Advances in Artificial Intelligence - 25th Australasian Joint Conference, Sydney, Australia, December 4-7, 2012. Proceedings. Volume 7691 of Lecture Notes in Computer Science, pages 672-682, Springer, 2012. [doi]

Authors

Daniel F. Schmidt

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Enes Makalic

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