Emma Simpson

Research papers
• Wessel, J. B., Murphy-Barltrop, C. J. R. and Simpson, E. S. (2025+). Generative machine learning for multivariate angular simulation. Extremes (to appear). For the Special Issue on "Bridging Heavy Tails and Artificial Intelligence".
• Simpson, E. S. and Tawn, J. A. (2025). Inference for new environmental contours using extreme value analysis. Journal of Agricultural, Biological and Environmental Statistics, 30(3):638-662.
• Simpson, E. S. and Tawn, J. A. (2024). Estimating the limiting shape of bivariate scaled sample clouds: with additional benefits of self-consistent inference for existing extremal dependence properties. Electronic Journal of Statistics, 18(2):4582-4611.
• Kakampakou, L., Simpson, E. S. and Wadsworth, J. L. (2024). Spatial extremal modelling: A case study on the interplay between margins and dependence. Stat, 13(4):e70021.
• Simpson, E. S., Opitz, T. and Wadsworth, J. L. (2023). High-dimensional modeling of spatial and spatio-temporal conditional extremes using INLA and Gaussian Markov random fields. Extremes, 26(4):669-713.
• D'Arcy, E., Murphy-Barltrop, C. J. R., Shooter, R. and Simpson, E. S. (2023). A marginal modelling approach for predicting wildfire extremes across the contiguous United States. Extremes, 26(2):381-398.
• Simpson, E. S., Wadsworth, J. L. and Tawn, J. A. (2021). A geometric investigation into the tail dependence of vine copulas. Journal of Multivariate Analysis, 184:104736.
• Simpson, E. S. and Wadsworth, J. L. (2021). Conditional modelling of spatio-temporal extremes for Red Sea surface temperatures. Spatial Statistics, 41:100482.
• Rohrbeck, C., Simpson, E. S. and Towe, R. P. (2021). A spatio-temporal model for Red Sea surface temperature anomalies. Extremes, 24(1):129-144.
• Simpson, E. S., Wadsworth, J. L. and Tawn, J. A. (2020). Determining the dependence structure of multivariate extremes. Biometrika, 107(3):513-532.
• Barlow, A. M., Rohrbeck, C., Sharkey, P., Shooter, R. and Simpson, E. S. (2018). A Bayesian spatio-temporal model for precipitation extremes - STOR team contribution to the EVA2017 challenge. Extremes, 21(3):431-439.
• Julian, B. R., Foulger, G. R., Hatfield, O. T., Jackson, S. E., Simpson, E. S., Einbeck, J. and Moore, A. (2015). Hotspots in hindsight. Geological Society of America Special Papers, 514:105-121.

• Simpson, E. S. and Wadsworth, J. L. (2025+). Conditional extremes modeling. Book chapter for the upcoming Handbook on Statistics of Extremes, Chapman & Hall/CRC Press.
• Rohrbeck, C., Simpson, E. S. and Tawn, J. A. (2025). Editorial: EVA (2023) conference data challenge. Extremes, 28(1):1-21.
  The accompanying dataset for the EVA (2023) conference data challenge is available from the University of Bath Research Data Archive.

• Simpson, E. S. and Northrop, P. J. (2025). Accounting for missing data when modelling block maxima. In submission.