Past Events
Where an abstract is available, it may be viewed by clicking on the title of the talk.
Kasia Kobalczyk on Modelling with Chain Event Graphs
Woojung Kim: Learning multimorbidity and its temporal dynamics with the Wright-Fisher Indian Buffer Process
Zeeshan Ali: A new measure of distance for compositional data
Maud Lemercier: Higher order mean embeddings for stochastic processes
Talk: Valerie Bradley
PhD student social event
Isabella Deutsch: Tweets and Apparel Wholesale: Bayesian Estimation of Hawkes Processes with Excitation and Inhibition
Ruiqi Liu: Optimal Stopping under Path Dependent Regime-Switching
Tim Stumpf-Fétizon: Scalable Computation for Bayesian Hierarchical Models
Emmanuelle Dankwa: Modelling the spread of African Swine Fever in Merry Island to inform optimal control strategies
Robert Lange: Learning not to learn - Nature versus nurture in silico
Ryan Chan: Algorithms for unifying statistical inference
Anastasia Ignatieva: Parsimonious reconstruction of genealogical histories with application to SARS-CoV-2
Marco Palma: A whole-brain normative model for 3-dimensional morphometry images
Postdoc Introductions
Nazem Khan: Mean-Risk Portfolio Selection
Yiyuan Zhang: Stochastic Models for Circadian Rhythm Time Series Data
Ian Hamilton: The many routes to the ubiquitous Bradley-Terry model
Hector McKimm: Regeneration-enriched Hamiltonian Dynamics
James Thornton: Differentiable Particle Filtering via Optimal Transport
Suzie Brown: Genealogies of Sequential Monte Carlo Algorithms
First year student introductions
First year student introductions
PhD student Q&A
Stefan Stein
Sherman Lo
Tim Stumpf-Fétizon
Måns Unosson
Denish Thesingarajah