Bayesian Inference in High-Energy Physics

Session

Computer Science and Statistics

26 May 2022, 09:00

OC218 (IPPP)

Conveners

Computer Science and Statistics: Mathematical aspects of Bayesian inference, by the Statistics group @ Durham

• Ian Vernon (Durham)

Description

Talks on Computer Science tools

8. Fully Bayesian parameter inference for Markov processes

Darren Wilkinson (Department of Mathematical Sciences at Durham University)

26/05/2022, 09:00

9. Bayes linear strategies for emulation and history matching for complex computer models

Michael Goldstein (Department of Mathematical Sciences at Durham University)

26/05/2022, 09:40

12. Multilevel Emulation of Complex Computer Models, with application to EAGLE, a Galaxy Formation Simulation

Ian Vernon (Department of Mathematical Sciences at Durham University)

26/05/2022, 10:20

10. Enforcing stationarity through the prior in vector autoregressions

Sarah Heaps (Department of Mathematical Sciences at Durham University)

26/05/2022, 11:20

11. Contemporaneous MCMC

Louis Aslett (Department of Mathematical Sciences at Durham University)

26/05/2022, 12:00