Thomas Brendan Murphy

Orcid: 0000-0002-5668-7046

According to our database1, Thomas Brendan Murphy authored at least 43 papers between 2003 and 2024.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Special issue on "advances in models and learning for clustering and classification".
Adv. Data Anal. Classif., March, 2024

An age-cohort simulation model for generating COVID-19 scenarios: A study from Ireland's pandemic response.
Eur. J. Oper. Res., February, 2024

2023
CLADAG 2021 special issue: Selected papers on classification and data analysis.
Stat. Anal. Data Min., August, 2023

2022
Model-based clustering for random hypergraphs.
Adv. Data Anal. Classif., 2022

Unobserved classes and extra variables in high-dimensional discriminant analysis.
Adv. Data Anal. Classif., 2022

2021
CLADAG 2019 Special Issue: Selected Papers on Classification and Data Analysis.
Stat. Anal. Data Min., 2021

Robust variable selection for model-based learning in presence of adulteration.
Comput. Stat. Data Anal., 2021

Model-based Clustering of Count Processes.
J. Classif., 2021

2020
A risk calculator to inform the need for a prostate biopsy: a rapid access clinic cohort.
BMC Medical Informatics Decis. Mak., 2020

Handling missing data in model-based clustering.
CoRR, 2020

Gaussian parsimonious clustering models with covariates and a noise component.
Adv. Data Anal. Classif., 2020

A robust approach to model-based classification based on trimming and constraints.
Adv. Data Anal. Classif., 2020

2019
Model-based clustering with sparse covariance matrices.
Stat. Comput., 2019

Investigation of parameter uncertainty in clustering using a Gaussian mixture model via jackknife, bootstrap and weighted likelihood bootstrap.
Comput. Stat., 2019

2018
Standardizing interestingness measures for association rules.
Stat. Anal. Data Min., 2018

2017
CLADAG 2015 special issue: Selected papers on classification and data analysis.
Stat. Anal. Data Min., 2017

2016
Statistical thinking and practice.
Stat. Anal. Data Min., 2016

Bayesian variable selection for latent class analysis using a collapsed Gibbs sampler.
Stat. Comput., 2016

mclust 5: Clustering, Classification and Density Estimation Using Gaussian Finite Mixture Models.
R J., 2016

Mixed-membership of experts stochastic blockmodel.
Netw. Sci., 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 Anal. Classif., 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.
Stat. Comput., 2014

Mixtures of biased sentiment analysers.
Adv. Data Anal. Classif., 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 Medical Informatics Decis. Mak., 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 Bioinform., 2013

2012
Review of statistical network analysis: models, algorithms, and software.
Stat. Anal. Data Min., 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.
Bioinform., 2010

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

2008
Parsimonious Gaussian mixture models.
Stat. Comput., 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


  Loading...