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Bayesian Inference in High-Energy Physics

May 25 – 27, 2022
IPPP
Europe/London timezone

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Session

Computer Science and Statistics

May 26, 2022, 9:00 AM
OC218 (IPPP)

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

Presentation materials

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  1. 8. Fully Bayesian parameter inference for Markov processes
    Darren Wilkinson (Department of Mathematical Sciences at Durham University)
    5/26/22, 9:00 AM
  2. 9. Bayes linear strategies for emulation and history matching for complex computer models
    Michael Goldstein (Department of Mathematical Sciences at Durham University)
    5/26/22, 9:40 AM
  3. 12. Multilevel Emulation of Complex Computer Models, with application to EAGLE, a Galaxy Formation Simulation
    Ian Vernon (Department of Mathematical Sciences at Durham University)
    5/26/22, 10:20 AM
  4. 10. Enforcing stationarity through the prior in vector autoregressions
    Sarah Heaps (Department of Mathematical Sciences at Durham University)
    5/26/22, 11:20 AM
  5. 11. Contemporaneous MCMC
    Louis Aslett (Department of Mathematical Sciences at Durham University)
    5/26/22, 12:00 PM
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