| Clustering with the multivariate normal inverse Gaussian distribution A O’Hagan, TB Murphy, IC Gormley, PD McNicholas, D Karlis Computational Statistics & Data Analysis 93, 18-30, 2016 | 65 | 2016 |
| Computational aspects of fitting mixture models via the expectation–maximization algorithm A O’Hagan, TB Murphy, IC Gormley Computational Statistics & Data Analysis 56 (12), 3843-3864, 2012 | 33 | 2012 |
| AI-based modeling and data-driven evaluation for smart manufacturing processes M Ghahramani, Y Qiao, MC Zhou, AO Hagan, J Sweeney IEEE/CAA Journal of Automatica Sinica 7 (4), 1026-1037, 2020 | 31 | 2020 |
| Investigation of parameter uncertainty in clustering using a Gaussian mixture model via jackknife, bootstrap and weighted likelihood bootstrap A O’Hagan, TB Murphy, L Scrucca, IC Gormley Computational Statistics 34 (4), 1779-1813, 2019 | 21* | 2019 |
| Improved model-based clustering performance using Bayesian initialization averaging A O’Hagan, A White Computational Statistics 34 (1), 201-231, 2019 | 6 | 2019 |
| Motor insurance claim modelling with factor collapsing and Bayesian model averaging S Hu, A O'Hagan, TB Murphy Stat 7 (1), e180, 2018 | 5 | 2018 |
| Model-Based and Nonparametric Approaches to Clustering for Data Compression in Actuarial Applications A O’Hagan, C Ferrari North American Actuarial Journal 21 (1), 107-146, 2017 | 5 | 2017 |
| A spatial machine learning model for analysing customers’ lapse behaviour in life insurance S Hu, A O’Hagan, J Sweeney, M Ghahramani Annals of Actuarial Science, 1-27, 0 | 5 | |
| Can’t Buy Me Love? Specific and Diffuse Reciprocity in International Relations S Brazys, A O’Hagan, D Pankeπ, O Westerwinterφ | 3 | 2017 |
| Actuarial Risk Matrices: The Nearest Positive Semidefinite Matrix Problem S Cutajar, H Smigoc, A O’Hagan North American Actuarial Journal 21 (4), 552-564, 2017 | 2 | 2017 |
| Topics in model-based clustering and classification A O'Hagan University College Dublin, 2012 | 2 | 2012 |
Brendan MurphyUniversity College DublinVerified email at ucd.ie
