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Statistical Science

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Dr Emma Simpson

PositionLecturer
Email(*)emma.simpson
Personal webpagehttp://www.homepages.ucl.ac.uk/~ucakess/
ThemesStochastic Modelling of Complex Systems; Multivariate and High Dimensional Data

* @ucl.ac.uk

Biographical Details

Emma joined the Department of Statistical Science at UCL as a lectuter in April 2021. She was previously based at Lancaster University, where she completed a postdoc and PhD, the latter as part of the STOR-i Centre for Doctoral Training.

Research Interests

Extreme value analysis; copulas and dependence modelling; spatio-temporal modelling; environmental applications

Selected publications

    • 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. doi: doi.org/10.1016/j.jmva.2021.104736
    • Simpson, E. S. and Wadsworth, J. L. (2021). Conditional modelling of spatio-temporal extremes for Red Sea surface temperatures. Spatial Statistics, 41:100482. doi: doi.org/10.1016/j.spasta.2020.100482
    • 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. doi: doi.org/10.1007/s10687-020-00383-2
    • Simpson, E. S., Wadsworth, J. L. and Tawn, J. A. (2020). Determining the dependence structure of multivariate extremes. Biometrika, 107(3):513-532. doi: doi.org/10.1093/biomet/asaa018
    • 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. doi: doi.org/10.1007/s10687-018-0330-z