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Works (17)

A consensus-constrained parsimonious Gaussian mixture model for clustering hyperspectral images

Advances in Data Analysis and Classification
2025-02-06 | Journal article
Contributors: Ganesh Babu; Aoife Gowen; Michael Fop; Isobel Claire Gormley
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Sparse Model-Based Clustering of Three-Way Data via Lasso-Type Penalties

Journal of Computational and Graphical Statistics
2025-01-02 | Journal article
Contributors: Andrea Cappozzo; Alessandro Casa; Michael Fop
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Crossref

Jason Wyse, James Ng, Arthur White and Michael Fop's contribution to the Discussion of ‘Root and community inference on the latent growth process of a network' by Crane and Xu

Journal of the Royal Statistical Society Series B: Statistical Methodology
2024-09-13 | Journal article
Part of ISSN: 1369-7412
Part of ISSN: 1467-9868
Contributors: Jason Wyse; James Ng; Arthur White; Michael Fop
Source: Self-asserted source
Michael Fop

A Gaussian process approach for rapid evaluation of skin tension

Acta Biomaterialia
2024-07 | Journal article
Contributors: Matt Nagle; Hannah Conroy Broderick; Christelle Vedel; Michel Destrade; Michael Fop; Aisling Ní Annaidh
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A machine learning approach to predict in vivo skin growth

Scientific Reports
2024-07-29 | Journal article
Part of ISSN: 2045-2322
Contributors: Matt Nagle; Hannah Conroy Broderick; Adrian Buganza Tepole; Michael Fop; Aisling Ní Annaidh
Source: Self-asserted source
Michael Fop

Variational inference for the latent shrinkage position model

Stat
2024-06 | Journal article
Contributors: Xian Yao Gwee; Isobel Claire Gormley; Michael Fop
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Crossref

Analysis of In Vivo Skin Anisotropy Using Elastic Wave Measurements and Bayesian Modelling

Annals of Biomedical Engineering
2023-08 | Journal article
Part of ISSN: 0090-6964
Part of ISSN: 1573-9686
Contributors: Matt Nagle; Susan Price; Antonia Trotta; Michel Destrade; Michael Fop; Aisling Ní Annaidh
Source: Self-asserted source
Michael Fop

Model-based clustering for multidimensional social networks

Journal of the Royal Statistical Society Series A: Statistics in Society
2023-07-01 | Journal article
Part of ISSN: 0964-1998
Part of ISSN: 1467-985X
Contributors: Silvia D’Angelo; Marco Alfò; Michael Fop
Source: Self-asserted source
Michael Fop

A Latent Shrinkage Position Model for Binary and Count Network Data

Bayesian Analysis
2023-01-01 | Journal article
Part of ISSN: 1936-0975
Contributors: Xian Yao Gwee; Isobel Claire Gormley; Michael Fop
Source: Self-asserted source
Michael Fop

Group-Wise Shrinkage Estimation in Penalized Model-Based Clustering

Journal of Classification
2022-11 | Journal article
Part of ISSN: 0176-4268
Part of ISSN: 1432-1343
Contributors: Alessandro Casa; Andrea Cappozzo; Michael Fop
Source: Self-asserted source
Michael Fop

Unobserved classes and extra variables in high-dimensional discriminant analysis

Advances in Data Analysis and Classification
2022-03 | Journal article
Contributors: Michael Fop; Pierre-Alexandre Mattei; Charles Bouveyron; Thomas Brendan Murphy
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Can the Y balance test identify those at risk of contact or non-contact lower extremity injury in adolescent and collegiate Gaelic games?

Journal of Science and Medicine in Sport
2020-10 | Journal article
Contributors: Siobhán O’Connor; Noel McCaffrey; Enda F. Whyte; Michael Fop; Brendan Murphy; Kieran Moran
Source: check_circle
Crossref

A stochastic block model for interaction lengths

Advances in Data Analysis and Classification
2020-06 | Journal article
Part of ISSN: 1862-5347
Part of ISSN: 1862-5355
Contributors: Riccardo Rastelli; Michael Fop
Source: Self-asserted source
Michael Fop

Is Poor Hamstring Flexibility a Risk Factor for Hamstring Injury in Gaelic Games?

Journal of Sport Rehabilitation
2019-09-01 | Journal article
Part of ISSN: 1056-6716
Part of ISSN: 1543-3072
Contributors: Siobhán O’Connor; Noel McCaffrey; Enda F. Whyte; Michael Fop; Brendan Murphy; Kieran A. Moran
Source: Self-asserted source
Michael Fop

Model-based clustering with sparse covariance matrices

Statistics and Computing
2019-07-01 | Journal article
Contributors: Michael Fop; Thomas Brendan Murphy; Luca Scrucca
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Crossref
grade
Preferred source (of 2)‎

Variable selection for latent class analysis with application to low back pain diagnosis

The Annals of Applied Statistics
2017-12-01 | Journal article
Part of ISSN: 1932-6157
Contributors: Michael Fop; Keith M. Smart; Thomas Brendan Murphy
Source: Self-asserted source
Michael Fop

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

The R Journal
2016 | Journal article
Part of ISSN: 2073-4859
Contributors: Luca Scrucca; Michael Fop; T.,Brendan Murphy; Adrian,E. Raftery
Source: Self-asserted source
Michael Fop

Peer review (5 reviews for 2 publications/grants)

Review activity for Advances in data analysis and classification. (3)
Review activity for Statistics and Computing (2)