| Testing for independence in arbitrary distributions C Genest, JG Nešlehová, B Rémillard, OA Murphy Biometrika 106 (1), 47-68, 2019 | 43 | 2019 |
| The perils of quasi‐likelihood information criteria Y Wang, O Murphy, M Turgeon, ZY Wang, SR Bhatnagar, J Schulz, ... Stat 4 (1), 246-254, 2015 | 7 | 2015 |
| An economic efficiency study on different regions of Ghana via Slack-based data envelopment analysis and regression analysis OA Murphy, P Wang, SX Wang, G Tkacz Applied Economics 45 (34), 4773-4780, 2013 | 6 | 2013 |
| Copula-based tests of independence for bivariate discrete data O Murphy McGill University, 2013 | 2 | 2013 |
| Modelling extreme rain accumulation with an application to the 2011 Lake Champlain flood J Jalbert, OA Murphy, C Genest, JG Nešlehová Journal of the Royal Statistical Society Series C: Applied Statistics 68 (4 …, 2019 | 1 | 2019 |
| Extremal modeling of dependent and non-stationary series and joint modeling of extreme rainfall at multiple sites OA Murphy McGill University (Canada), 2018 | 1 | 2018 |
| A new multivariate Poisson model OA Murphy, J Schulz arXiv preprint arXiv:2407.05896, 2024 | | 2024 |
| Longitudinal Data Clustering with a Copula Kernel Mixture Model X Zhang, OA Murphy, PD McNicholas arXiv preprint arXiv:2307.11682, 2023 | | 2023 |
| Perspective on road safety: Automated detection of motorcycle helmet use HS Merali, OA Murphy, D Singh, PD McNicholas Journal of road safety 33 (3), 72-75, 2022 | | 2022 |
| Testing for independence in arbitrary distributions OA MURPHY Biometrika 106 (1), 2019 | | 2019 |
| Modeling clusters of extreme values J Jalbert, O Murphy, C Genest, J Neslehova | | 2017 |
