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 research and collaboration rather than to present a public lecture on finished work.

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

If you are interested in presenting to the Working Group on Statistical Learning, please contact Silvia D'Angelo or Michael Fop.

Talks generally take place in Room 1.25 (JK Lab - Science North) in UCD on Mondays at 12:00.



Upcoming Seminars


Recent Seminars

Latent Position Shrinkage Model for Network Data

Xian Yao Gwee (University College Dublin)
Mon 19th April 2021 - 12:00PM

Compressing DNA data for prediction: the benefits of downsizing

Silvia D'Angelo (University College Dublin)
Mon 29th March 2021 - 3:00PM

Nonparametric density estimation over complicated domains and manifolds

Federico Ferraccioli (University of Padua)
Mon 15th February 2021 - 12:00PM

Parsimonious Bayesian Factor Analysis for modelling latent structures in spectroscopy data

Alessandro Casa (University College Dublin)
Mon 8th February 2021 - 12:00PM

Textual data summarization using the Self-Organized Co-Clustering model

Margot Selosse (Université de Lyon, Laboratoire ERIC)
Mon 25th January 2021 - 12:00PM

Bayesian dynamic network actor models with application to South Korean COVID-19 patient movement data

Antonio Mario Arrizza (University of Bologna)
Mon 30th November 2020 - 12:00PM


Archive: 2011 - 2019 - 2020 - 2021 -

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