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 ScruccaAssociate Professor of Statistics, University of Perugia, ItalyVerified email at unipg.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
Robert W FoleyUniversity Hospitals Bristol NHS Foundation TrustVerified email at ucdconnect.ie
Arthur WhiteAssistant Professor, School of Computer Science and Statistics, Trinity College DublinVerified email at tcd.ie
Dara LundonUniversity College DublinVerified email at ucdconnect.ie
Michael Salter-TownshendAssistant Professor, University College DublinVerified email at ucd.ie
Rose GalvinUniversity of LimerickVerified email at ul.ie
Tara CusackphysiotherapyVerified email at ucd.ie
Isabella GolliniUniversity College Dublin, IrelandVerified email at ucd.ie
Yue FanPostdoc Fellow, University College DublinVerified email at ucd.ie
Neil G DochertyAnatomy, University College DublinVerified email at ucd.ie
Gerard DowneyTeagascVerified email at teagasc.ie
Nial FrielProfessor of Statistics, University College Dublin, COSTNET CA15109Verified email at ucd.ie
Antoinette PerryUniversity College DublinVerified email at ucd.ie
J Calvin CoffeyGraduate Entry Medical School, University of LimerickVerified email at ul.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	1622	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	1111	2012
Parsimonious Gaussian mixture models PD Mcnicholas, TB Murphy Statistics and Computing 18 (3), 285-296, 2008	306	2008
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	213	2010
Model-based clustering of microarray expression data via latent Gaussian mixture models PD McNicholas, TB Murphy Bioinformatics 26 (21), 2705, 2010	205	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	192	2011
Mixtures of distance-based models for ranking data TB Murphy, D Martin Computational statistics & data analysis 41 (3), 645-655, 2003	164	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	145	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	141	2008
Family-Mediated Exercise Intervention (FAME) R Galvin, T Cusack, E O'Grady, TB Murphy, E Stokes Stroke 42 (3), 681-686, 2011	132	2011
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	126	2008
Review of statistical network analysis: models, algorithms, and software M Salter-Townshend, A White, I Gollini, TB Murphy Statistical Analysis and Data Mining 5 (4), 243-264, 2012	125	2012
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	122	2006
Model‐based clustering of longitudinal data PD McNicholas, TB Murphy Canadian Journal of Statistics 38 (1), 153-168, 2010	120	2010
Model-based clustering and classification for data science: with applications in R C Bouveyron, G Celeux, TB Murphy, AE Raftery Cambridge University Press, 2019	116	2019
Exploring Voting Blocs Within the Irish Electorate IC Gormley, TB Murphy Journal of the American Statistical Association 103 (483), 1014-1027, 2008	113	2008
Standardising the lift of an association rule PD McNicholas, TB Murphy, M O'Regan Computational Statistics & Data Analysis 52 (10), 4712-4721, 2008	102	2008
The Impact of Increased Duration of Exercise Therapy on Functional Recovery Following Stroke—What Is the Evidence? R Galvin, B Murphy, T Cusack, E Stokes Topics in Stroke Rehabilitation 15 (4), 365-377, 2008	97	2008
mclust: Normal mixture modeling for model-based clustering, classification, and density estimation C Fraley, A Raftery, L Scrucca, TB Murphy, M Fop R package version 4 (7), 2014	93*	2014
Improved Bayesian inference for the stochastic block model with application to large networks AF McDaid, TB Murphy, N Friel, NJ Hurley Computational Statistics & Data Analysis 60, 12-31, 2013	88	2013

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