Research Publications for Lynette A (Lyn) Hunt
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Hunt, L. A., & Basford, K. E. (2017). Comparing classical criteria for selecting intra-class correlated features for three-mode three-way data. In The International Biometric Society Australasian Region Conference (IBS-AR 2017). Conference held Gold Coast, Australia.
Hunt, L. A., & Jorgensen, M. (2017). The multimix class of mixture models for clustering mixed categorical and continuous data. In 1st International Conference on Econometrics and Statistics (EcoSta 2017). Conference held in Hong Kong.
Hunt, L. A. (2016). Mixture model selection for three-mode three-way data. In 2016 International Biometric Conference. Victoria, Canada.
Hunt, L. A., & Basford, K. E. (2016). Comparing classical criteria for selecting intra-class correlated features in Multimix. Computational Statistics & Data Analysis, 103, 350-366. doi:10.1016/j.csda.2016.05.018
Hunt, L. A., & Basford, K. (2016). Comparing classical criteria for selecting intra-class correlated features for three-mode three-way data. In 2016 AUT Mathematical Sciences Symposium (pp. 15). Auckland, NZ.
Hunt, L. (2015). Missing data imputation and its effect on the accuracy of classification. In Conference of the International Federation of Classification Societies, Book of Abstracts (pp. 105). Bologna, Italy: ifcs.
Liang, E. S., Tipper, G., Hunt, L. A., & Gan, P. Y. C. (2015). Cranioplasty outcomes and associated complications: a single centre observational study. British Journal of Neurosurgery, 30(1), 122-127. doi:10.3109/02688697.2015.1080216
Hunt, L. A. (2014). Model selection for the Multimix class of Mixture Models. In MTO Colloquium, Tilburg University, Tilburg, Netherlands.
Hunt, L. A. (2014). An evaluation of missing data imputation and its effect on classifier performance. Poster session presented at the meeting of 27th International Biometric Conference. Florence.
Hunt, L. A., Stubbs, R. S., & Hayes, M. (2014). Predictive models for resolution of Type 2 diabetes in patients with gastric bypass. In Centre de Recherche Public de la Sante, Luxembourg.