Bayes4Health draft

Bayes4Health & CoSInES Workshop

Monday 16th to Thursday 19th September 2019

The 21st-century data revolution provides exciting opportunities for enhancing understanding of the world in virtually every area of human activity. However, the process of moving from data to scientific understanding is often challenging.

The joint Bayes4Health/CoSInES workshop ran from the 16th to 19th of September 2019 and was the first in a series of workshops that will be held by the two grants. The workshop focused on methodological themes shared by the two grants and the different application areas that they will target. Talks were presented by invited speakers and investigators from both grants. The talks a range of topics including: ensemble rejection sampling, unbiased MCMC, SMC, control variates and non-reversible samplers. Application themes that were presented included Bayesian change-point detection in cyber security, profile regression in health applications, epidemic modeling and challenges in the analysis of genetic data. The aim was to share and discuss recent advances in statistics that aim to develop principled approaches to learn from large and complex data, together with their application across a range of Health, Medical, Engineering and Security challenges.

The next event will be a Bayes4Health workshop, which is planned to take place in Cambridge in 2021.


Catalina Vallejos

Darren Wilkinson

Edward Ionides

Gavin Gibson

George Deligiannidis

Jeremy Heng

Nick Heard

Nigel French

Omiros Papaspiliopoulos

Peter Grunwald

Pierre Jacob

Sara Wade

Sarah Filippi

Silvia Liverani

Chris Robertson

Simon Maskell

Theo Damoulas

Veronica Bowman

Pete Neal

Leah South

Simon Godsill

Arnaud Doucet

Daniela De Angelis