Anna Kiriliouk
I am an assistant professor in Statistics at the Faculty of Economics Management Communication Politics and the Department of Mathematics of the University
of Namur since September 2018. Before that, I was affiliated with the Erasmus University Rotterdam (EUR) as a fixed-term assistant professor and at the Université catholique de Louvain (UCLouvain) as a PhD student and postdoctoral researcher.
My main research field is extreme value theory, with a focus on environmental applications, the development of statistical methodology for multivariate extremes,
high-dimensional modelling, spatial extremes, and semi- and non-parametric inference.
Recently, I've been particularly interested in topics related to the climate sciences, such as climate extreme event attribution and compound extremes.
Full cv: (pdf)
Google scholar: (link)
Working papers
- Kiriliouk, A. and Zhou, C. (2025+). Estimating probabilities of multivariate failure sets based on pairwise tail dependence coefficients.
Accepted papers in peer-reviewed journals and book chapters
- Mourahib, A., Kiriliouk, A., and Segers, J. (2025+). Multivariate generalized Pareto distributions along extreme directions. Accepted in Extremes.
- Kiriliouk, A., Lee, J., and Segers, J. (2025+). X-Vine models for multivariate extremes. Accepted in the Journal of the Royal Statistical Society: Series B (Statistical Methodology).
- Kiriliouk, A., Segers, J. and Tsukahara, H. (2021). Resampling procedures with empirical beta copulas. Book chapter in Pioneering works on extreme value theory: in honor of Masaaki Sibuya, edited by N. Hoshino, S. Mano and T. Shimura. Springer.
- Kiriliouk, A. and Naveau, P. (2020). Climate extreme event attribution using multivariate peaks-over-thresholds modeling and counterfactual theory. Annals of Applied Statistics 14(3), 1342-1358.
- Kiriliouk, A. (2020). Hypothesis testing for tail dependence parameters on the boundary of the parameter space. Econometrics and Statistics 16, 121-135.
- Kiriliouk, A., Rootzén, H., Segers, J., and Wadsworth, J. (2019). Peaks over thresholds modelling with multivariate generalized Pareto distributions. Technometrics 61(1), 123-135.
- Kiriliouk, A., Segers, J. and Tafakori, L. (2018). An estimator of the stable tail dependence function based on the empirical beta copula. Extremes 21(4), 581-600.
- van Loenhout, J.A.F., Delbiso, T. Kiriliouk, A. Rodriguez-Llanes, J. Segers, J. and Guha-Sapir, D. (2018). Heat and emergency room admissions in the Netherlands. BMC Public Health 18(108), 1-9.
- Einmahl, J.H.J., Kiriliouk, A., and Segers, J. (2018). A continuous updating weighted least squares estimator of tail dependence in high dimensions. Extremes 21(2), 205-233.
- Einmahl, J.H.J., Kiriliouk, A., Krajina, A., and Segers, J. (2016). An M-estimator of spatial tail dependence. Journal of the Royal Statistical Society: Series B (Statistical Methodology), 78, 275-298.
- Kiriliouk, A., Segers, J., and Warchol, M. (2016). Nonparametric estimation of extremal dependence. Book chapter in Extreme Value Modelling and Risk Analysis: Methods and Applications, edited by D. Dey and J. Yan. Chapman & Hall/CRC Press.
- Denuit, M., Kiriliouk, A., and Segers, J. (2015). Max-factor individual risk models with application to credit portfolios. Insurance: Mathematics and Economics, 62, 162-172.
PhD thesis
- Kiriliouk, A. (2016). Modelling extreme-value dependence in high dimensions using threshold exceedances.
R package
- tailDepFun. Provides functions implementing minimal distance estimation methods for parametric tail dependence models. A manual and a vignette are available.
Contact
Email: anna.kiriliouk at unamur.be
Address: Faculty of Economics Management Communication Politics, room 433
Rempart de la vierge 8, B-5000 Namur, Belgique
Address: Faculty of Economics Management Communication Politics, room 433
Rempart de la vierge 8, B-5000 Namur, Belgique
