Webinars

• Bayesian Additive Regression Trees for Non-Ignorable Missing Data
Date: 2024-04-01
Yong Chen is a 4th year PhD candidate at Maynooth University. Her research focuses on tackling non-ignorable missing data problems in the context of Bayesian tree-based methods. She completed a BSc in Actuarial Science from City, University of London, followed by an MSc in Mathematics from Queen Mary, University of London.… read more


• Bayesian generalised additive models for quantifying sea-level change
Date: 2024-04-01
Maeve Upton is postdoctoral researcher specialising in statistical modelling, employing spatial temporal models with Bayesian frameworks. Her current research focuses on developing statistical models to accurately estimate real-time power generation capacity of renewable energy sources in Ireland. This work is conducted within the GREEN-GRID project, under the supervision of Dr. James Sweeney, and is supported by funding from the SFI. Maeve graduated from Trinity College Dublin in 2018 with a BSc in Physics and Astrophysics. In 2023, she completed my PhD in Maynooth University under the supervision of Prof Andrew Parnell and Dr Niamh Cahill. Her PhD project developed a series of statistical models to analyse historical sea level records using proxy data from salt marshes and Bayesian Hierarchical techniques.… read more


• Nonparametric Bayesian intensity estimation for covariate-driven inhomogeneous point processes
Date: 2024-04-01
Matteo Giordano is an Assistant Professor (Ricercatore a Tempo Determinato di Tipo A) of Statistics at the Department of Economics, Social Studies, Applied Mathematics and Statistics (ESOMAS) of the University of Turin. I am also a Research Affiliate at Collegio Carlo Alberto, within the “de Castro” Statistics Initiative. Previously, I was a Postdoctoral Research Assistant at the Department of Statistics of the University of Oxford, mentored by Prof. Judith Rousseau. While in Oxford, I was also affiliated to Jesus College.… read more


• Bayesian nonparametric modelling of network data
Date: 2023-04-01
Prof. Claire Gormley is in the School of Mathematics and Statistics where she conducts research in statistics and teaches statistics to undergraduate and graduate students. She is the co-director of the Science Foundation Ireland Centre for Research Training (CRT) in Foundations of Data Science, with co-directors Prof. James Gleeson (UL) and Prof. David Malone (MU). The CRT will train over 120 PhD students from 2019 to 2026 in the foundations of data science. Prof. Gormley is a Principal Investigator in the VistaMilk Research Centre for Precision Pasture-based Dairying and a Funded Investigator in the Insight Centre for Data Analytics. Her research develops novel, apposite statistical methods, largely based on latent variable models, for the analysis of high dimensional data, often of mixed type. The methods she develops are often motivated by and solve applied problems across a range of disciplines, including epigenetics, metabolomics, genomics, social science, sports science and political science.… read more

• betaclust, a family of mixture models for beta-valued DNA methylation data
Date: 2023-03-10
Koyel Majumdar, from School of Mathematics and Statistics, University College Dublin, Ireland will talk about a family of novel beta mixture models with application in DNA methylation process.… read more