Thomas Brendan Murphy

According to our database1, Thomas Brendan Murphy authored at least 29 papers between 2003 and 2019.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2019
Model-based clustering with sparse covariance matrices.
Statistics and Computing, 2019

2018
Standardizing interestingness measures for association rules.
Statistical Analysis and Data Mining, 2018

2017
CLADAG 2015 special issue: Selected papers on classification and data analysis.
Statistical Analysis and Data Mining, 2017

2016
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

2014
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

2013
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

2012
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
CoRR, 2012

Model-based clustering in networks with Stochastic Community Finding
CoRR, 2012

Mixed Membership Models for Exploring User Roles in Online Fora.
Proceedings of the Sixth International Conference on Weblogs and Social Media, 2012

2010
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.
Bioinformatics, 2010

2009
digeR: a graphical user interface R package for analyzing 2D-DIGE data.
Bioinformatics, 2009

2008
Parsimonious Gaussian mixture models.
Statistics and Computing, 2008

Standardising the lift of an association rule.
Comput. Stat. Data Anal., 2008

2006
A Latent Space Model for Rank Data.
Proceedings of the Statistical Network Analysis: Models, Issues, and New Directions, 2006

2003
Mixtures of distance-based models for ranking data.
Comput. Stat. Data Anal., 2003


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