Dr Simon Byrne
|Phone (external)||(020) 7679 1223|
|Themes||Computational Statistics, Multivariate and High Dimensional Data, General Theory and Methodology|
Simon Byrne is an EPSRC Postdoctoral Research Fellow in the Department of
He completed his PhD in 2011 at the University of Cambridge
Statistical Laboratory under the supervision of Professor A. Philip
Bayesian statistical theory, graphical models, information geometry, hierarchical Bayesian models, computational techniques related to all of the above.
- "Optimizing the Integrator Step Size for Hamiltonian Monte Carlo" (with Michael Betancourt and Mark Girolami). 2014. arXiv:1411.6669.
- "Geometry of Hamiltonian Monte Carlo" (with Michael Betancourt, Sam Livingston and Mark Girolami). 2014. arXiv:1410.5110.
- "Structural Markov graph laws for Bayesian model uncertainty" (with A. Philip Dawid). Annals of Statistics, to appear. 2014. arXiv:1403.5689.
- "Langevin diffusions and the Metropolis-adjusted Langevin algorithm" (with Tatiana Xifara, Chris Sherlock, Samuel Livingstone and Mark Girolami). Statistics & Probability Letters. 91:14–19. 2014. doi:10.1016/j.spl.2014.04.002. arXiv:1309.2983. MR3208109.
- "Retrospective-prospective symmetry in the likelihood and Bayesian analysis of case-control studies" (with A. Philip Dawid). Biometrika. 101(1):189–204. 2014. doi:10.1093/biomet/ast050. arXiv:1202.2683. MR3180665.