Thomas Brendan Murphy
According to our database1, Thomas Brendan Murphy authored at least 29 papers between 2003 and 2019.
Legend:Book In proceedings Article PhD thesis Other
Model-based clustering with sparse covariance matrices.
Statistics and Computing, 2019
Standardizing interestingness measures for association rules.
Statistical Analysis and Data Mining, 2018
CLADAG 2015 special issue: Selected papers on classification and data analysis.
Statistical Analysis and Data Mining, 2017
Statistical thinking and practice.
Statistical Analysis and Data Mining, 2016
Bayesian variable selection for latent class analysis using a collapsed Gibbs sampler.
Statistics and Computing, 2016
Mixed-membership of experts stochastic blockmodel.
Network Science, 2016
Clustering with the multivariate normal inverse Gaussian distribution.
Comput. Stat. Data Anal., 2016
Exponential family mixed membership models for soft clustering of multivariate data.
Adv. Data Analysis and Classification, 2016
Mixed Membership Models for Rank Data.
Proceedings of the Handbook of Mixed Membership Models and Their Applications., 2014
Mixture of latent trait analyzers for model-based clustering of categorical data.
Statistics and Computing, 2014
Mixtures of biased sentiment analysers.
Adv. Data Analysis and Classification, 2014
Overlapping Stochastic Community Finding.
Proceedings of the 2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2014
Sentiment Analysis of Online Media.
Proceedings of the Algorithms from and for Nature and Life, 2013
Evaluation of prediction models for the staging of prostate cancer.
BMC Med. Inf. & Decision Making, 2013
Variational Bayesian inference for the Latent Position Cluster Model for network data.
Comput. Stat. Data Anal., 2013
Improved Bayesian inference for the stochastic block model with application to large networks.
Comput. Stat. Data Anal., 2013
Greedy feature selection for glycan chromatography data with the generalized Dirichlet distribution.
BMC Bioinformatics, 2013
Review of statistical network analysis: models, algorithms, and software.
Statistical Analysis and Data Mining, 2012
Computational aspects of fitting mixture models via the expectation-maximization algorithm.
Comput. Stat. Data Anal., 2012
Bayesian nonparametric Plackett-Luce models for the analysis of clustered ranked data
Model-based clustering in networks with Stochastic Community Finding
Mixed Membership Models for Exploring User Roles in Online Fora.
Proceedings of the Sixth International Conference on Weblogs and Social Media, 2012
Serial and parallel implementations of model-based clustering via parsimonious Gaussian mixture models.
Comput. Stat. Data Anal., 2010
Model-based clustering of microarray expression data via latent Gaussian mixture models.
digeR: a graphical user interface R package for analyzing 2D-DIGE data.
Parsimonious Gaussian mixture models.
Statistics and Computing, 2008
Standardising the lift of an association rule.
Comput. Stat. Data Anal., 2008
A Latent Space Model for Rank Data.
Proceedings of the Statistical Network Analysis: Models, Issues, and New Directions, 2006
Mixtures of distance-based models for ranking data.
Comput. Stat. Data Anal., 2003