Dr Matthew Sutton
Lecturer, Mathematics
School of Mathematics and Physics
Priestley Building (67), Room 618
Book Chapter
Sutton, Matthew (2020). Bayesian variable selection. Case studies in applied Bayesian data science: CIRM Jean-Morlet Chair, Fall 2018. (pp. 121-135) edited by Kerrie L. Mengersen, Pierre Pudlo and Christian P. Robert. Cham, Switzerland: Springer. doi: 10.1007/978-3-030-42553-1_5
Journal Articles
Corenflos, Adrien, Sutton, Matthew and Chopin, Nicolas (2025). Debiasing piecewise deterministic Markov process samplers using couplings. Scandinavian Journal of Statistics, 52 (4), 1932-1974. doi: 10.1111/sjos.70015
Davies, L., Ley-Cooper, A. Y., Sutton, M. and Drovandi, C. (2023). Bayesian detectability of induced polarization in airborne electromagnetic data. Geophysical Journal International, 235 (3), 2499-2523. doi: 10.1093/gji/ggad073
Sutton, Matthew and Fearnhead, Paul (2023). Concave-convex PDMP-based sampling. Journal of Computational and Graphical Statistics, 32 (4), 1425-1435. doi: 10.1080/10618600.2023.2203735
Chevallier, Augustin, Fearnhead, Paul and Sutton, Matthew (2022). Reversible jump PDMP samplers for variable selection. Journal of the American Statistical Association, 118 (544), 2915-2927. doi: 10.1080/01621459.2022.2099402
Sutton, Matthew, Sugier, Pierre-Emmanuel, Truong, Therese and Liquet, Benoit (2022). Leveraging pleiotropic association using sparse group variable selection in genomics data. BMC Medical Research Methodology, 22 (1) 9. doi: 10.1186/s12874-021-01491-8
Lafaye de Micheaux, Pierre, Liquet, Benoît and Sutton, Matthew (2019). PLS for Big Data: A unified parallel algorithm for regularised group PLS. Statistics Surveys, 13, 119-149. doi: 10.1214/19-ss125
Sutton, Matthew, Mengersen, Kerrie and Liquet, Benoit (2018). [HDDA] sparse subspace constrained partial least squares. Journal of Statistical Computation and Simulation, 89 (6), 1005-1019. doi: 10.1080/00949655.2018.1555830
Sutton, Matthew, Thiébaut, Rodolphe and Liquet, Benoît (2018). Sparse partial least squares with group and subgroup structure. Statistics in Medicine, 37 (23), 3338-3356. doi: 10.1002/sim.7821
Liquet, Benoit, Mengersen, Kerrie L., Pettitt, Anthony N. and Sutton, Matthew (2017). Bayesian variable selection regression of multivariate responses for group data. Bayesian Analysis, 12 (4), 1039-1067. doi: 10.1214/17-ba1081
Billington, Elizabeth J., Khodkar, Abdollah, Petrusma, Dylan and Sutton, Matthew (2014). Lambda-fold theta graphs: Metamorphosis into 6-cycles. AKCE International Journal of Graphs and Combinatorics, 11 (1), 81-94.
Sutton, Matthew William (2014). On the metamorphosis of a G-design into a (G - e) -design. Discrete Mathematics, 318 (1), 71-77. doi: 10.1016/j.disc.2013.11.014
Conference Papers
Srinivasan, Narayan, Sutton, Matthew, Drovandi, Christopher and South, Leah F. (2025). The polynomial Stein discrepancy for assessing moment convergence. International Conference on Machine Learning (ICML 2025), Vancouver, Canada, 13–19 July 2025. San Diego, CA, United States: ICML.
Davies, Laurence, Salomone, Robert, Sutton, Matthew and Drovandi, Christopher (2023). Transport Reversible Jump Proposals. 26th International Conference on Artificial Intelligence and Statistics, Valencia, Spain, 25 - 27 April 2023. United States: ML Research Press.
Sutton, Matthew, Salomone, Robert, Chevallier, Augustin and Fearnhead, Paul (2022). Continuously-Tempered PDMP samplers. 36th Conference on Neural Information Processing Systems (NeurIPS 2022), New Orleans, LA United States, 28 November - 9 December 2022.