Brendan Murphy

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Michael FopLecturer/Assistant Professor University College DublinVerified email at ucd.ie
Adrian E. RafteryProfessor of Statistics and Sociology, University of WashingtonVerified email at uw.edu
Luca ScruccaFull Professor of Statistics, University of Bologna, ItalyVerified email at unibo.it
Isobel Claire GormleyProfessor, School of Mathematics and Statistics, University College DublinVerified email at ucd.ie
Paul D. McNicholasProfessor & Canada Research Chair, McMaster University, Ontario, CanadaVerified email at math.mcmaster.ca
Watson RWUniversity College DublinVerified email at ucd.ie
Aaron McDaidIn industry now, after a postdoc in statistical genetics. Might return to bioinformatics!Verified email at ucdconnect.ie
Arthur WhiteAssistant Professor, School of Computer Science and Statistics, Trinity College DublinVerified email at tcd.ie
Michael Salter-TownshendAssistant Professor, University College DublinVerified email at ucd.ie
Antoinette PerryUniversity College DublinVerified email at ucd.ie
Isabella GolliniUniversity College Dublin, IrelandVerified email at ucd.ie
Charles BouveyronProfessor of Statistics & AI, Director of Institut 3IA Côte d'Azur, Inria, Université Côte d'AzurVerified email at inria.fr
Tin Lok James NgTrinity College DublinVerified email at tcd.ie
Rose GalvinUniversity of LimerickVerified email at ul.ie
Tara CusackphysiotherapyVerified email at ucd.ie
Yue FanPostdoc Fellow, University College DublinVerified email at ucd.ie
J Calvin CoffeyUniversity of Limerick, limerick, IrelandVerified email at ul.ie
Neil G DochertyAnatomy, University College DublinVerified email at ucd.ie
Gilles CeleuxDirecteur de recherche InriaVerified email at inria.fr
Gerard DowneyTeagascVerified email at teagasc.ie

Brendan Murphy

University College Dublin

Verified email at ucd.ie - Homepage

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mclust 5: Clustering, Classification and Density Estimation Using Gaussian Finite Mixture Models L Scrucca, M Fop, TB Murphy, AE Raftery The R Journal 8 (1), 289-317, 2016	3038	2016
mclust Version 4 for R: Normal Mixture Modeling for Model-Based Clustering, Classification, and Density Estimation C Fraley, AE Raftery, TB Murphy, L Scrucca https://www.stat.washington.edu/research/reports/2012/tr597.pdf, 2012	1264	2012
Parsimonious Gaussian mixture models PD Mcnicholas, TB Murphy Statistics and Computing 18 (3), 285-296, 2008	389	2008
Model-based clustering and classification for data science: with applications in R C Bouveyron, G Celeux, TB Murphy, AE Raftery Cambridge University Press, 2019	358	2019
Desulfovibrio bacterial species are increased in ulcerative colitis F Rowan, NG Docherty, M Murphy, B Murphy, JC Coffey, PR O‘Connell Diseases of the Colon & Rectum 53 (11), 1530, 2010	333	2010
Model-based clustering of microarray expression data via latent Gaussian mixture models PD McNicholas, TB Murphy Bioinformatics 26 (21), 2705, 2010	243	2010
Novel glycan biomarkers for the detection of lung cancer JN Arnold, R Saldova, MC Galligan, TB Murphy, Y Mimura-Kimura, ... Journal of Proteome Research, 2011	229	2011
Mixtures of distance-based models for ranking data TB Murphy, D Martin Computational statistics & data analysis 41 (3), 645-655, 2003	180	2003
Serial and parallel implementations of model-based clustering via parsimonious Gaussian mixture models PD McNicholas, TB Murphy, AF McDaid, D Frost Computational Statistics & Data Analysis 54 (3), 711-723, 2010	175	2010
Family-Mediated Exercise Intervention (FAME) R Galvin, T Cusack, E O'Grady, TB Murphy, E Stokes Stroke 42 (3), 681-686, 2011	166	2011
Model‐based clustering of longitudinal data PD McNicholas, TB Murphy Canadian Journal of Statistics 38 (1), 153-168, 2010	160	2010
The effect of the GENTLE/s robot-mediated therapy system on arm function after stroke S Coote, B Murphy, W Harwin, E Stokes Clinical rehabilitation 22 (5), 395-405, 2008	159	2008
Model-based clustering, classification, and density estimation using mclust in R L Scrucca, C Fraley, TB Murphy, AE Raftery Chapman and Hall/CRC, 2023	157	2023
Review of statistical network analysis: models, algorithms, and software M Salter-Townshend, A White, I Gollini, TB Murphy Wiley-Blackwell, 2012	156	2012
Standardising the lift of an association rule PD McNicholas, TB Murphy, M O'Regan Computational Statistics & Data Analysis 52 (10), 4712-4721, 2008	151	2008
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	146	2008
Exploring Voting Blocs Within the Irish Electorate IC Gormley, TB Murphy Journal of the American Statistical Association 103 (483), 1014-1027, 2008	141	2008
Variable selection methods for model-based clustering M Fop, TB Murphy	138	2018
Using unlabelled data to update classification rules with applications in food authenticity studies N Dean, TB Murphy, G Downey Journal of the Royal Statistical Society: Series C (Applied Statistics) 55 …, 2006	136	2006
Joint modeling of multiple network views I Gollini, TB Murphy Journal of Computational and Graphical Statistics 25 (1), 246-265, 2016	117	2016

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