Advanced statistical methods for emerging applications in network analysis, healthcare and finance (In person)

Date: Friday 12 December 2025, 1.00PM - 5.00PM
Location: Imperial College London; Room 144 in Huxley Building (180 Queens' Gate; SW7 2AZ)
Section Group Meeting
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The Royal Statistical Society's Emerging Applications and Applied Probability sections invite you to join us for a workshop on Advanced Statistical Methods for Emerging Applications in Healthcare and Extreme Events.
 
The workshop will take place on Friday, 12 December 2025, 13:00–17:00, both in person at Imperial College London and online.
 
We are delighted to present talks from three leading researchers:
 
 * Vasiliki Koutra (King's College London) - Designing Experiments on Networks
 
 * Simone Padoan (Università Bocconi) - Bayesian Inference for Tail Risk Extrapolation in Time Series
 
 * Sonali Parbhoo (Imperial College London) - Causal Machine Learning for Actionable Insights in Healthcare
 
 
We hope you'll join us for this exciting event!
 
 
Workshop programme:
13:00-13:15 Welcome and opening remarks
13:15-14:10 Talk: Designing Experiments on Networks
14:10-14:40 Coffee break
14:40-15:35 Talk: Bayesian Inference for Tail Risk Extrapolation in Time Series
15:35-16:05 Coffee Break
16:05-17:00 Talk: Causal Machine Learning for Actionable Insights in Healthcare
17:00-17:10 Closing remarks
 
 
Designing Experiments on Networks
Talk by Vassiliki Koutra (https://www.kcl.ac.uk/people/vasiliki-koutra), Lecturer in Statistics at King's College London
 

Bayesian inference for tail risk extrapolation in time series
Talk by Simone Padoan (https://faculty.unibocconi.eu/simonepadoan/), Associate Professor at the University of Bocconi
 

Causal Machine Learning for Actionable Insights in Healthcare
Talk by Dr Sonali Parbhoo (https://sites.google.com/view/sonali-parbhoo/home), Assistant Professor at Imperial College London

 

 

 

Marina Evangelou, Dean Bodenham & Riccardo Passeggeri on the behalf of the Emerging Applications Section and Applied Probability Section committees

 
Members - £10.00 

Non-members - £15.00
 
Book now