Seminar 10/11/2023: “Automating variable selection in distributional regression”

On Friday, November 10th, 2023, Dr. Kevin Burke, Lecturer in Statistics at the University of Limerick, presented about automating variable selection in distributional regression. Details for the talk are below. Title Automating variable selection in distributional regression Abstract Variable selection is an important scientific endeavour as it identifies important associations. Of course, this is more … Read more

Seminar 20/10/2023: “Estimating public and private contraceptive method supply shares at national and subnational administration levels, using Bayesian hierarchical models”

On Friday, October 20th, 2023, Hannah Comiskey, a postdoctoral researcher at Trinity College Dublin, presented about estimating public and private contraceptive method supply shares using Bayesian hierarchical models. Details for the talk are below. Title Estimating public and private contraceptive method supply shares at national and subnational administration levels, using Bayesian hierarchical models Abstract Contraceptive … Read more

Seminar 27/10/2023: “About AI, extreme weather, green electricity, and large-scale outage events”

On Friday, October 27th, 2023, the seminar series hosted Dr. Jin Zhao, an assistant professor in Electronic and Electrical Engineering (Systems) at Trinity College Dublin, to discuss about AI, extreme weather, green electricity, and large-scale outage events. Details for the talk are below. Title About AI, extreme weather, green electricity, and large-scale outage events Abstract … Read more

Seminar 13/10/2023: “Hidden Markov Models for Multivariate Longitudinal Data”

On Friday, October 13th, 2023, the seminar series hosted a talk from Mackenzie Neal, a PhD researcher from McMaster University in Canada, discussing Hidden Markov Models for multivariate data. Details for the talk are below. Title Hidden Markov Models for Multivariate Longitudinal Data Abstract While advances continue to be made in model-based clustering, challenges persist … Read more