| Probabilistic principal component analysis for metabolomic data G Nyamundanda, L Brennan, IC Gormley BMC Bioinformatics 11 (1), 1-11, 2010 | 222 | 2010 |
| MetSizeR: selecting the optimal sample size for metabolomic studies using an analysis based approach G Nyamundanda, IC Gormley, Y Fan, WM Gallagher, L Brennan BMC Bioinformatics 14 (1), 1-8, 2013 | 162 | 2013 |
| Model based clustering for mixed data: clustMD D McParland, IC Gormley Advances in Data Analysis and Classification 10 (2), 155-169, 2016 | 146 | 2016 |
| A mixture of experts model for rank data with applications in election studies IC Gormley, TB Murphy The Annals of Applied Statistics 2 (4), 1452-1477, 2008 | 144 | 2008 |
| Exploring voting blocs within the Irish electorate: A mixture modeling approach IC Gormley, TB Murphy Journal of the American Statistical Association 103 (483), 1014-1027, 2008 | 136 | 2008 |
| 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 | 113 | 2016 |
| Predicting cow milk quality traits from routinely available milk spectra using statistical machine learning methods M Frizzarin, IC Gormley, DP Berry, TB Murphy, A Casa, A Lynch, ... Journal of Dairy Science 104 (7), 7438-7447, 2021 | 103 | 2021 |
| Analysis of Irish third-level college applications data IC Gormley, TB Murphy Journal of the Royal Statistical Society Series A: Statistics in Society 169 …, 2006 | 91 | 2006 |
| Model-Based Clustering IC Gormley, TB Murphy, AE Raftery Annual Review of Statistics and Its Application 10, 573–95, 2023 | 83 | 2023 |
| Mixture of experts models IC Gormley, S Frühwirth-Schnatter Handbook of mixture analysis, 271-307, 2019 | 80 | 2019 |
| A grade of membership model for rank data IC Gormley, TB Murphy Bayesian Analysis 4 (2), 265-295, 2009 | 78 | 2009 |
| A latent space model for rank data IC Gormley, TB Murphy ICML Workshop on Statistical Network Analysis, 90-102, 2006 | 75 | 2006 |
| 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 | 74* | 2019 |
| Infinite mixtures of infinite factor analysers K Murphy, C Viroli, IC Gormley Bayesian Analysis 15 (3), 937–963, 2020 | 69 | 2020 |
| Dislocation of primary total hip arthroplasty and the risk of redislocation SA Brennan, F Khan, C Kiernan, JM Queally, J McQuillan, IC Gormley, ... Hip International 22 (5), 500-504, 2012 | 61 | 2012 |
| A mixture of experts latent position cluster model for social network data IC Gormley, TB Murphy Statistical Methodology 7 (3), 385-405, 2010 | 60 | 2010 |
| Influence of weather variables on pain severity in end-stage osteoarthritis SA Brennan, T Harney, JM Queally, J O’Connor McGoona, IC Gormley, ... International Orthopaedics 36, 643-646, 2012 | 55 | 2012 |
| 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 | 54 | 2012 |
| Clustering South African households based on their asset status using latent variable models D McParland, IC Gormley, TH McCormick, SJ Clark, CW Kabudula, ... The Annals of Applied Statistics 8 (2), 747, 2014 | 48 | 2014 |
| Differential diagnosis and comorbidity of ADHD and anxiety in adults K Grogan, CI Gormley, B Rooney, R Whelan, H Kiiski, M Naughton, ... British Journal of Clinical Psychology 57 (1), 99-115, 2018 | 45 | 2018 |
Brendan MurphyUniversity College DublinVerified email at ucd.ie
