Thomas Brendan Murphy

Professor of Statistics

Dublin City University

Ireland

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About

Thomas Brendan Murphy is a Professor of Statistics at University College Dublin, Ireland. His research interests encompass genetic gain through genomic selection, Bayesian mixture models, COVID-19 scenario simulations, and machine-learning applications in agricultural spectroscopy. He has contributed significantly to the field through his recent publications, which include analyses of voting patterns and classification methodologies.

Articles (13)

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2025

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2024

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2023

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2023

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2023

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2023

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2023

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2021

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2021

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2021

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2021

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2021

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2020

Collaborators (16)

Cathal Walsh

Professor of Biostatistics (2019)

Trinity College Dublin

IRELAND

Thomas Brendan Murphy

Research Interests

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About

Articles (13)

Relative effectiveness in genetic gain from genomic selection of candidate dams versus genomic selection of their progeny

Identifying Brexit voting patterns in the British house of commons: an analysis based on Bayesian mixture models with flexible concomitant covariate effects

Pre-computation of image features for the classification of dynamic properties in breaking waves

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

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

Adaptive data collection for intraindividual studies affected by adherence

Interview With Adrian Raftery

Integrating Serum Biomarkers into Prediction Models for Biochemical Recurrence Following Radical Prostatectomy.

Application of machine-learning methods to milk mid-infrared spectra for discrimination of cow milk from pasture or total mixed ration diets

Clustering longitudinal life‐course sequences using mixtures of exponential‐distance models

Predicting cow milk quality traits from routinely available milk spectra using statistical machine learning methods

Robust variable selection in the framework of classification with label noise and outliers: Applications to spectroscopic data in agri-food

Glycosylation in Indolent, Significant and Aggressive Prostate Cancer by Automated High-Throughput N-Glycan Profiling.

Collaborators (16)

Cathal Walsh

Giovanni C. Porzio

Laura Gorman

Amirhossein Jalali

Shirin Moghaddam

Helmut Klocker

Tom O'Callaghan

Donagh Berry

Marco Berrettini

Frederic Dias

Paul Conroy

William Watson

Jim Duggan

ANDREA CAPPOZZO

Deirdre Hennessy

Francesca Greselin

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