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Adrian O'Hagan
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2020 – today
- 2024
- [j7]Lídia Maria André, Jennifer L. Wadsworth, Adrian O'Hagan:
Joint modelling of the body and tail of bivariate data. Comput. Stat. Data Anal. 189: 107841 (2024) - 2022
- [j6]Mohammadhossein Ghahramani, Adrian O'Hagan, Mengchu Zhou, James Sweeney:
Intelligent Geodemographic Clustering Based on Neural Network and Particle Swarm Optimization. IEEE Trans. Syst. Man Cybern. Syst. 52(6): 3746-3756 (2022) - 2020
- [j5]Mohammadhossein Ghahramani, Yan Qiao, MengChu Zhou, Adrian O'Hagan, James Sweeney:
AI-based modeling and data-driven evaluation for smart manufacturing processes. IEEE CAA J. Autom. Sinica 7(4): 1026-1037 (2020) - [i1]Mohammadhossein Ghahramani, Yan Qiao, MengChu Zhou, Adrian O'Hagan, James Sweeney:
AI-based Modeling and Data-driven Evaluation for Smart Manufacturing Processes. CoRR abs/2008.12987 (2020)
2010 – 2019
- 2019
- [j4]Adrian O'Hagan, Arthur J. White:
Improved model-based clustering performance using Bayesian initialization averaging. Comput. Stat. 34(1): 201-231 (2019) - [j3]Adrian O'Hagan, Thomas Brendan Murphy, Luca Scrucca, Isobel Claire Gormley:
Investigation of parameter uncertainty in clustering using a Gaussian mixture model via jackknife, bootstrap and weighted likelihood bootstrap. Comput. Stat. 34(4): 1779-1813 (2019) - 2016
- [j2]Adrian O'Hagan, Thomas Brendan Murphy, Isobel Claire Gormley, Paul D. McNicholas, Dimitris Karlis:
Clustering with the multivariate normal inverse Gaussian distribution. Comput. Stat. Data Anal. 93: 18-30 (2016) - 2012
- [j1]Adrian O'Hagan, Thomas Brendan Murphy, Isobel Claire Gormley:
Computational aspects of fitting mixture models via the expectation-maximization algorithm. Comput. Stat. Data Anal. 56(12): 3843-3864 (2012)
Coauthor Index
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