Thomas Brendan Murphy

Adv. Data Anal. Classif., March, 2024

An age-cohort simulation model for generating COVID-19 scenarios: A study from Ireland's pandemic response.

[BibT_eX]

[DOI]

Jim Duggan

Jair Andrade

James P. Gleeson

Cathal Walsh

Philip Nolan

Eur. J. Oper. Res., February, 2024

2023

CLADAG 2021 special issue: Selected papers on classification and data analysis.

[BibT_eX]

[DOI]

Chiara Bocci

Anna Gottard

Giovanni Camillo Porzio

Stat. Anal. Data Min., August, 2023

2022

Model-based clustering for random hypergraphs.

[BibT_eX]

[DOI]

Tin Lok James Ng

Adv. Data Anal. Classif., 2022

Unobserved classes and extra variables in high-dimensional discriminant analysis.

[BibT_eX]

[DOI]

Michael Fop

Pierre-Alexandre Mattei

Charles Bouveyron

Adv. Data Anal. Classif., 2022

2021

CLADAG 2019 Special Issue: Selected Papers on Classification and Data Analysis.

[BibT_eX]

[DOI]

Giovanni Camillo Porzio

Domenico Vistocco

Stat. Anal. Data Min., 2021

Robust variable selection for model-based learning in presence of adulteration.

[BibT_eX]

[DOI]

Andrea Cappozzo

Comput. Stat. Data Anal., 2021

Model-based Clustering of Count Processes.

[BibT_eX]

[DOI]

Tin Lok James Ng

J. Classif., 2021

2020

A risk calculator to inform the need for a prostate biopsy: a rapid access clinic cohort.

[BibT_eX]

[DOI]

R. William G. Watson

BMC Medical Informatics Decis. Mak., 2020

Handling missing data in model-based clustering.

[BibT_eX]

[DOI]

Alessio Serafini

CoRR, 2020

Gaussian parsimonious clustering models with covariates and a noise component.

[BibT_eX]

[DOI]

Keefe Murphy

Adv. Data Anal. Classif., 2020

A robust approach to model-based classification based on trimming and constraints.

[BibT_eX]

[DOI]

Andrea Cappozzo

Adv. Data Anal. Classif., 2020

2019

Model-based clustering with sparse covariance matrices.

[BibT_eX]

[DOI]

Michael Fop

Stat. Comput., 2019

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

[BibT_eX]

[DOI]

Adrian O'Hagan

Comput. Stat., 2019

2018

Standardizing interestingness measures for association rules.

[BibT_eX]

[DOI]

Mateen Shaikh

Paul D. McNicholas

Maria-Luiza Antonie

Stat. Anal. Data Min., 2018

2017

CLADAG 2015 special issue: Selected papers on classification and data analysis.

[BibT_eX]

[DOI]

Paolo Giudici

Carla Rampichini

Stat. Anal. Data Min., 2017

2016

Statistical thinking and practice.

[BibT_eX]

[DOI]

Stat. Anal. Data Min., 2016

Bayesian variable selection for latent class analysis using a collapsed Gibbs sampler.

[BibT_eX]

[DOI]

Jason Wyse

Stat. Comput., 2016

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

[BibT_eX]

[DOI]

Michael Fop

Adrian E. Raftery

R J., 2016

Mixed-membership of experts stochastic blockmodel.

[BibT_eX]

[DOI]

Netw. Sci., 2016

Clustering with the multivariate normal inverse Gaussian distribution.

[BibT_eX]

[DOI]

Adrian O'Hagan

Paul D. McNicholas

Dimitris Karlis

Comput. Stat. Data Anal., 2016

Exponential family mixed membership models for soft clustering of multivariate data.

[BibT_eX]

[DOI]

Adv. Data Anal. Classif., 2016

2014

Mixed Membership Models for Rank Data.

[BibT_eX]

[DOI]

Proceedings of the Handbook of Mixed Membership Models and Their Applications., 2014

Mixture of latent trait analyzers for model-based clustering of categorical data.

[BibT_eX]

[DOI]

Isabella Gollini

Stat. Comput., 2014

Mixtures of biased sentiment analysers.

[BibT_eX]

[DOI]

Adv. Data Anal. Classif., 2014

Overlapping Stochastic Community Finding.

[BibT_eX]

[DOI]

Neil J. Hurley

Proceedings of the 2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2014

2013

Sentiment Analysis of Online Media.

[BibT_eX]

[DOI]

Proceedings of the Algorithms from and for Nature and Life, 2013

Evaluation of prediction models for the staging of prostate cancer.

[BibT_eX]

[DOI]

Susie Boyce

Yue Fan

Ronald Watson

BMC Medical Informatics Decis. Mak., 2013

Variational Bayesian inference for the Latent Position Cluster Model for network data.

[BibT_eX]

[DOI]

Comput. Stat. Data Anal., 2013

Improved Bayesian inference for the stochastic block model with application to large networks.

[BibT_eX]

[DOI]

Nial Friel

Neil J. Hurley

Comput. Stat. Data Anal., 2013

Greedy feature selection for glycan chromatography data with the generalized Dirichlet distribution.

[BibT_eX]

[DOI]

BMC Bioinform., 2013

2012

Review of statistical network analysis: models, algorithms, and software.

[BibT_eX]

[DOI]

Isabella Gollini

Stat. Anal. Data Min., 2012

Computational aspects of fitting mixture models via the expectation-maximization algorithm.

[BibT_eX]

[DOI]

Adrian O'Hagan

Comput. Stat. Data Anal., 2012

Bayesian nonparametric Plackett-Luce models for the analysis of clustered ranked data

[BibT_eX]

[DOI]

Francois Caron

Yee Whye Teh

CoRR, 2012

Model-based clustering in networks with Stochastic Community Finding

[BibT_eX]

[DOI]

Nial Friel

Neil J. Hurley

CoRR, 2012

Mixed Membership Models for Exploring User Roles in Online Fora.

[BibT_eX]

[DOI]

Jeffrey Chan

Conor Hayes

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.

[BibT_eX]

[DOI]

Dermot Frost

Comput. Stat. Data Anal., 2010

Model-based clustering of microarray expression data via latent Gaussian mixture models.

[BibT_eX]

[DOI]

Bioinform., 2010

2009

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

[BibT_eX]

[DOI]

Yue Fan

R. William G. Watson

Bioinform., 2009

2008

Parsimonious Gaussian mixture models.

[BibT_eX]

[DOI]

Stat. Comput., 2008

Standardising the lift of an association rule.

[BibT_eX]

[DOI]

M. O'Regan

Comput. Stat. Data Anal., 2008

2006

A Latent Space Model for Rank Data.

[BibT_eX]

[DOI]

Proceedings of the Statistical Network Analysis: Models, Issues, and New Directions, 2006

2003

Mixtures of distance-based models for ranking data.

[BibT_eX]

[DOI]