Working Group on Statistical Learning

The Working Group on Statistical Learning is a forum for researchers to present their research. The goal of the working group is to promote discussion and collaboration on ongoing research projects in an informal environment, rather than presenting a finished piece of work. It is an ideal platform for PhD students to present their current work. In the past, in this series people also delivered tutorials on general interest topics in statistics/machine learning.

The working group sessions involve the presenter giving a 30-40 minutes talk which is followed by 20 minutes of discussion.



Upcoming Seminars


Recent Seminars

A Dirichlet stochastic block model for composition-weighted network

Iuliia (Yulia) Promskaia (UCD)
Thu 15th February 2024 - 3:00PM

Latent space approaches for multivariate count time series data

Hardeep Kaur (UCD)
Thu 1st February 2024 - 3:00PM

Modal clustering for categorical data

Noemi Corsini (University of Padua)
Thu 19th October 2023 - 3:00PM

Missing value imputation using a robust infinite factor model with application to metabolomic data

Kate Finucane (University College Dublin)
Thu 28th September 2023 - 3:00PM

Bayesian Additive Regression Trees with Model Trees

Estevao Prado (Maynooth University)
Mon 28th February 2022 - 12:00PM


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