Thomas Brendan Murphy

Publication Activity (10 Years)

Years Active: 2003-2024
Publications (10 Years): 22

Top Topics

Prostate Biopsy

Multivariate Normal

Top Venues

Adv. Data Anal. Classif.

Stat. Anal. Data Min.

Comput. Stat. Data Anal.

Publications

Jim Duggan, Jair Andrade, Thomas Brendan Murphy, James P. Gleeson, Cathal Walsh, Philip Nolan
An age-cohort simulation model for generating COVID-19 scenarios: A study from Ireland's pandemic response. Eur. J. Oper. Res. 313 (1) (2024)
Luis Angel García-Escudero, Salvatore Ingrassia, Thomas Brendan Murphy
Special issue on "advances in models and learning for clustering and classification". Adv. Data Anal. Classif. 18 (1) (2024)
Chiara Bocci, Anna Gottard, Thomas Brendan Murphy, Giovanni Camillo Porzio
CLADAG 2021 special issue: Selected papers on classification and data analysis. Stat. Anal. Data Min. 16 (4) (2023)
Michael Fop, Pierre-Alexandre Mattei, Charles Bouveyron, Thomas Brendan Murphy
Unobserved classes and extra variables in high-dimensional discriminant analysis. Adv. Data Anal. Classif. 16 (1) (2022)
Tin Lok James Ng, Thomas Brendan Murphy
Model-based clustering for random hypergraphs. Adv. Data Anal. Classif. 16 (3) (2022)
Tin Lok James Ng, Thomas Brendan Murphy
Model-based Clustering of Count Processes. J. Classif. 38 (2) (2021)
Andrea Cappozzo, Francesca Greselin, Thomas Brendan Murphy
Robust variable selection for model-based learning in presence of adulteration. Comput. Stat. Data Anal. 158 (2021)
Francesca Greselin, Thomas Brendan Murphy, Giovanni Camillo Porzio, Domenico Vistocco
CLADAG 2019 Special Issue: Selected Papers on Classification and Data Analysis. Stat. Anal. Data Min. 14 (4) (2021)
Andrea Cappozzo, Francesca Greselin, Thomas Brendan Murphy
A robust approach to model-based classification based on trimming and constraints. Adv. Data Anal. Classif. 14 (2) (2020)
Amirhossein Jalali, Robert W. Foley, Robert M. Maweni, Keefe Murphy, Dara J. Lundon, Thomas Lynch, Richard Power, Frank O'Brien, Kieran J. O'Malley, David J. Galvin, Garrett C. Durkan, Thomas Brendan Murphy, R. William G. Watson
A risk calculator to inform the need for a prostate biopsy: a rapid access clinic cohort. BMC Medical Informatics Decis. Mak. 20 (1) (2020)
Keefe Murphy, Thomas Brendan Murphy
Gaussian parsimonious clustering models with covariates and a noise component. Adv. Data Anal. Classif. 14 (2) (2020)
Alessio Serafini, Thomas Brendan Murphy, Luca Scrucca
Handling missing data in model-based clustering. CoRR (2020)
Michael Fop, Thomas Brendan Murphy, Luca Scrucca
Model-based clustering with sparse covariance matrices. Stat. Comput. 29 (4) (2019)
Adrian O'Hagan, Thomas Brendan Murphy, Luca Scrucca, Isobel Claire Gormley
Investigation of parameter uncertainty in clustering using a Gaussian mixture model via jackknife, bootstrap and weighted likelihood bootstrap. Comput. Stat. 34 (4) (2019)
Mateen Shaikh, Paul D. McNicholas, Maria-Luiza Antonie, Thomas Brendan Murphy
Standardizing interestingness measures for association rules. Stat. Anal. Data Min. 11 (6) (2018)
Paolo Giudici, Francesca Greselin, Thomas Brendan Murphy, Carla Rampichini
CLADAG 2015 special issue: Selected papers on classification and data analysis. Stat. Anal. Data Min. 10 (1) (2017)
Arthur J. White, Thomas Brendan Murphy
Exponential family mixed membership models for soft clustering of multivariate data. Adv. Data Anal. Classif. 10 (4) (2016)
Luca Scrucca, Michael Fop, Thomas Brendan Murphy, Adrian E. Raftery
mclust 5: Clustering, Classification and Density Estimation Using Gaussian Finite Mixture Models. R J. 8 (1) (2016)
Adrian O'Hagan, Thomas Brendan Murphy, Isobel Claire Gormley, Paul D. McNicholas, Dimitris Karlis
Clustering with the multivariate normal inverse Gaussian distribution. Comput. Stat. Data Anal. 93 (2016)
Thomas Brendan Murphy
Statistical thinking and practice. Stat. Anal. Data Min. 9 (6) (2016)
Arthur J. White, Thomas Brendan Murphy
Mixed-membership of experts stochastic blockmodel. Netw. Sci. 4 (1) (2016)
Arthur J. White, Jason Wyse, Thomas Brendan Murphy
Bayesian variable selection for latent class analysis using a collapsed Gibbs sampler. Stat. Comput. 26 (1-2) (2016)
Aaron F. McDaid, Neil J. Hurley, Thomas Brendan Murphy
Overlapping Stochastic Community Finding. ASONAM (2014)
Michael Salter-Townshend, Thomas Brendan Murphy
Mixtures of biased sentiment analysers. Adv. Data Anal. Classif. 8 (1) (2014)
Isabella Gollini, Thomas Brendan Murphy
Mixture of latent trait analyzers for model-based clustering of categorical data. Stat. Comput. 24 (4) (2014)
Aaron F. McDaid, Thomas Brendan Murphy, Nial Friel, Neil J. Hurley
Improved Bayesian inference for the stochastic block model with application to large networks. Comput. Stat. Data Anal. 60 (2013)
Mateen Shaikh, Paul David McNicholas, Maria-Luiza Antonie, Thomas Brendan Murphy
Standardizing Interestingness Measures for Association Rules. CoRR (2013)
Michael Salter-Townshend, Thomas Brendan Murphy
Variational Bayesian inference for the Latent Position Cluster Model for network data. Comput. Stat. Data Anal. 57 (1) (2013)
Susie Boyce, Yue Fan, Ronald Watson, Thomas Brendan Murphy
Evaluation of prediction models for the staging of prostate cancer. BMC Medical Informatics Decis. Mak. 13 (2013)
Marie C. Galligan, Radka Saldova, Matthew P. Campbell, Pauline M. Rudd, Thomas Brendan Murphy
Greedy feature selection for glycan chromatography data with the generalized Dirichlet distribution. BMC Bioinform. 14 (2013)
Francois Caron, Yee Whye Teh, Thomas Brendan Murphy
Bayesian nonparametric Plackett-Luce models for the analysis of clustered ranked data CoRR (2012)
Michael Salter-Townshend, Arthur J. White, Isabella Gollini, Thomas Brendan Murphy
Review of statistical network analysis: models, algorithms, and software. Stat. Anal. Data Min. 5 (4) (2012)
Arthur J. White, Jeffrey Chan, Conor Hayes, Thomas Brendan Murphy
Mixed Membership Models for Exploring User Roles in Online Fora. ICWSM (2012)
Aaron F. McDaid, Thomas Brendan Murphy, Nial Friel, Neil J. Hurley
Model-based clustering in networks with Stochastic Community Finding CoRR (2012)
Adrian O'Hagan, Thomas Brendan Murphy, Isobel Claire Gormley
Computational aspects of fitting mixture models via the expectation-maximization algorithm. Comput. Stat. Data Anal. 56 (12) (2012)
Paul David McNicholas, Thomas Brendan Murphy
Model-based clustering of microarray expression data via latent Gaussian mixture models. Bioinform. 26 (21) (2010)
Paul David McNicholas, Thomas Brendan Murphy, Aaron F. McDaid, Dermot Frost
Serial and parallel implementations of model-based clustering via parsimonious Gaussian mixture models. Comput. Stat. Data Anal. 54 (3) (2010)
Yue Fan, Thomas Brendan Murphy, R. William G. Watson
digeR: a graphical user interface R package for analyzing 2D-DIGE data. Bioinform. 25 (22) (2009)
Paul David McNicholas, Thomas Brendan Murphy, M. O'Regan
Standardising the lift of an association rule. Comput. Stat. Data Anal. 52 (10) (2008)
Paul David McNicholas, Thomas Brendan Murphy
Parsimonious Gaussian mixture models. Stat. Comput. 18 (3) (2008)
Isobel Claire Gormley, Thomas Brendan Murphy
A Latent Space Model for Rank Data. SNA@ICML (2006)
Thomas Brendan Murphy, Donal Martin
Mixtures of distance-based models for ranking data. Comput. Stat. Data Anal. 41 (3-4) (2003)