On April 27th, Daniel Dempsey presented a novel method for the analysis of ANCA vasculitis flare using Bayesian distributed lag regression. Details for Daniel’s talk are below. Title  Bayesian Distributed Lag Regression and Model Selection Method for the Analysis of ANCA Vasculitis Flares. Abstract ANCA vasculitis is an autoimmune disease characterised by relapses, or flares, … Read more

On April 20th, the seminar series welcomed Philip Cooney, a PhD student in Trinity College. Philip spoke about novel methods for incorporating expert opinion in statistical analysis. Details of Philip’s talk are below. The manuscript on which the talk is based is available here and Philip has also prepared a Github repository with an implementation … Read more

On April 13th, the seminar series welcomed Guylain Grange, a final-year PhD student in Trinity College and an Teagasc. Guylain presented recent work investigating the plant diversity-multi-functionality relationship. Details of Guylain’s talk are below. TitleAssessment and visualization of the plant diversity – multi-functionality relationship AbstractIrish intensive grasslands are threatened by fluctuations in fertilizer prices and … Read more

On April 6th, the seminar series welcomed Prof. Anna Vidotto from the University of Naples Federico II to present recent work completed with Domenico Marinucci and Maurizia Rossi. TitleOn the excursion area of time dependent spherical random fields AbstractIn this paper, we consider isotropic and stationary real Gaussian random fields defined on S2×R and we investigate … Read more

On March 16th, Daniel hosted a reading group session on the seminal work by Sir David Cox, Regression Models and Life-Tables. The paper is available here.

On March 9th, the seminar series was delighted to welcome Prof. Nicos Pavlidis, Senior Lecturer at Lancaster University to speak about new work developing spectral subspace clustering methods with extensions to constrained clustering and active learning. Abstract: Spectral-based subspace clustering methods have proved successful in many challenging applications such as gene sequencing, image recognition, and motion segmentation. … Read more

On February 16th, the seminar series was delighted to welcome Prof. Alessandro Casa of the Free University of Bozen-Bolzano to speak about new work developing co-clustering methods for time-dependent data. Abstract: Multivariate time-dependent data arise when multiple features are measured for a set of units over time instants. When dealing with such data, flexible statistical … Read more

The seminar series for the Hilary term 2022 commenced with a lightning round session and two presentations from new members of our group, Reme, a post-doctoral researcher and Ultán, a PhD candidate. Reme introduced her thesis topic, which bridges the disciplines of Operations Research and Statistics to develop novel computational methods for the extraction of … Read more

Prof. Mimi Zhang and I recently had a paper accepted to the International Conference on Data Mining 2021 (ERA rank A, Qualis Rank A1). Our paper introduces Density-Core Finding (DCF), an efficient and robust density-based clustering method. DCF extends the popular Density Peaks Clustering (DPC) method which detects modes as points with high density and … Read more

On December 12th, Prof. Alessio Benavoli presented new work on learning choice functions using a Bayesian model. He included an experiment in the talk, demonstrating an application to multi-objective preferential Bayesian optimisation. Abstract: In practical decision making, there are usually several preference relations that have to be taken into account.  For instance, when choosing among … Read more