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CoSInES Launch Day, 2nd November 2018, University of Warwick.
The CoSInES project is a collaboration of researchers from Universities of Warwick, Bristol, Lancaster, Oxford and the Alan Turing Institute to tackle fundamental challenges in Computational and Bayesian Statistics and key applications in Engineering and Security. The project will run 1st October 2018 till 30th September 2023, is primarily funded by EPSRC and is led by Gareth Roberts. More information about the initiative can be found at
On November 2nd 2018, the project will be launched with an afternoon of presentations related to the project.
We’d like to invite anyone who would like to attend to register their interest by emailing Shital Desai (S.Desai.firstname.lastname@example.org). Lunch (from 12.15) will be provided and the event will conclude with a short drinks reception to celebrate the beginning of the project. The talks are scheduled to finish by roughly 16.30 and will take place in Warwick University Oculus lecture theatre OC0.02.
The project will very soon be advertising 5 4-year PDRA positions associated with the project. These positions can be based at any of the 5 institutions involved in the grant. Informal enquiries regarding these positions to Gareth Roberts (email@example.com) are very welcome.
Provisional timetable of day:
12.15 Lunch next to the Oculus lecture theatre OC0.02
13.00 Gareth Roberts (Warwick): Overview of CoSInES project
13.20 Paul Fearnhead (Lancaster): Continuous-time MCMC and its potential for scalable Bayesian inference
13.45 Mark Briers (ATI): Computationally intensive statistical challenges in Defence and Security
14.05 Sam Livingstone (UCL): On the robustness of gradient-based MCMC
14.30 - 14.50 tea
14.50 Christophe Andrieu (Bristol): On the hypocoercivity of some Piecewise Deterministic Markov Process-Monte Carlo Methods
15.15 Chris Oates (Newcastle, ATI): Statistical modelling and analysis of materials
15.40 Murray Pollock (Warwick): Fusion and Con-fusion for Bayesian analysis of distributed data
16.05 Louis Aslett (Durham, ATI): Privacy and Security in Bayesian Inference
16.30 Drinks Reception