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]
@inproceedings{SchmidtM12-0,
title = {Minimum Message Length Inference and Mixture Modelling of Inverse Gaussian Distributions},
author = {Daniel F. Schmidt and Enes Makalic},
year = {2012},
doi = {10.1007/978-3-642-35101-3_57},
url = {http://dx.doi.org/10.1007/978-3-642-35101-3_57},
researchr = {https://researchr.org/publication/SchmidtM12-0},
cites = {0},
citedby = {0},
pages = {672-682},
booktitle = {AI 2012: Advances in Artificial Intelligence - 25th Australasian Joint Conference, Sydney, Australia, December 4-7, 2012. Proceedings},
editor = {Michael Thielscher and Dongmo Zhang},
volume = {7691},
series = {Lecture Notes in Computer Science},
publisher = {Springer},
isbn = {978-3-642-35100-6},
}