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

The effect on inferences of population size of the sampling scheme for intraspecific DNA sequences

Suzy Whoriskey (University College Dublin)
Mon 24th February 2020 - 12:00PM

Recent Seminars

A latent variable approach to infer food intake using multiple metabolomic biomarkers

Silvia D'Angelo (University College Dublin)
Mon 17th February 2020 - 12:00PM

Better than the best? Blending models and approaches in density-based clustering

Alessandro Casa (University College Dublin)
Mon 3rd February 2020 - 12:00PM

Machine learning for image reconstruction: fad or revolution?

John Healy (University College Dublin)
Mon 25th November 2019 - 12:00PM

Persistence Flamelets: Topological Invariants for Scale Spaces

Tullia Padellini (Sapienza, University of Rome)
Mon 18th November 2019 - 12:00PM

Systemic risk in the Austrian interbank network

Riccardo Rastelli (University College Dublin)
Mon 21st October 2019 - 12:00PM

Sampling-based Inference and Interest Rates

Andrew Smith (University College Dublin)
Mon 14th October 2019 - 12:00PM

Archive: 2011 - 2019 - 2020 -

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