Personal profile
Research interests
My research focus lies on multivariate, spatial and temporal dependence phenomena in extreme value theory. The latter is a branch of probability and statistics that provides theoretically sound procedures for the quantitative assessment of rare and typically hazardous events (as good as possible, knowing the limitations is also an important issue). Its methods are genuinely relevant for institutions, who wish to assess risk exposures in a quantitive data-driven way. Beyond that I am interested in many more connections, for instance with graphical models, realisability problems, stochastic geometry or statistical challenges related to forecast evaluations, the latter being particularly relevant in the age of AI.
Personal website: https://people.bath.ac.uk/ks3047
Education/Academic qualification
Mathematics, Doctor rerum naturalium, Characterization and construction of max-stable processes, University of Goettingen
Award Date: 30 Sept 2013
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Collaborations and top research areas from the last five years
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Graphical models for infinite measures with applications to extremes
Engelke, S., Ivanovs, J. & Strokorb, K., 20 Oct 2025, In: Annals of Applied Probability. p. 3490-3542Research output: Contribution to journal › Article › peer-review
Open Access -
Comparative evaluation of point process forecasts
Brehmer, J. R., Gneiting, T., Herrmann, M., Marzocchi, W., Schlather, M. & Strokorb, K., 28 Feb 2024, In: Annals of the Institute of Statistical Mathematics. 76, 1, p. 47-71 25 p.Research output: Contribution to journal › Article › peer-review
6 Link opens in a new tab Citations (SciVal) -
Stochastic ordering in multivariate extremes
Corradini, M. & Strokorb, K., 30 Sept 2024, In: Extremes. 27, 3, p. 357-396 40 p.Research output: Contribution to journal › Article › peer-review
Open Access1 Link opens in a new tab Citation (SciVal) -
A Comparative Tour through the Simulation Algorithms for Max-Stable Processes
Oesting, M. & Strokorb, K., 1 Feb 2022, In: Statistical Science. 37, 1, p. 42-63 22 p.Research output: Contribution to journal › Article › peer-review
Open Access3 Link opens in a new tab Citations (SciVal) -
Why scoring functions cannot assess tail properties
Brehmer, J. R. & Strokorb, K., 5 Oct 2019, In: Electronic Journal of Statistics. p. 4015-4034Research output: Contribution to journal › Article › peer-review
Open Access22 Link opens in a new tab Citations (SciVal)
Activities
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Centre for Research in Statistical Methodology (CRiSM), Warwick University
Strokorb, K. (Visiting researcher)
18 Sept 2025 → 24 Sept 2025Activity: Visiting an external academic institution › Visiting researcher
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Statistics seminar, University of Bath
Strokorb, K. (Speaker)
17 Oct 2025Activity: Academic conferences and events (excluding conference publications) › Other academic event (organisation, presentation, attendance)
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ExREC meeting “Extremes and Rare Events in Climate and related applications”, Reading (CMPE)
Strokorb, K. (Speaker)
18 Jun 2025Activity: Academic conferences and events (excluding conference publications) › Other academic event (organisation, presentation, attendance)
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One World Extremes seminar
Strokorb, K. (Speaker)
23 Oct 2025Activity: Academic conferences and events (excluding conference publications) › Other academic event (organisation, presentation, attendance)
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77th British Mathematical Colloquium
Strokorb, K. (Member of programme committee)
30 Mar 2026 → 2 Apr 2026Activity: Academic conferences and events (excluding conference publications) › Other academic event (organisation, presentation, attendance)