Publications

Pavel Krupskii, Boris Béranger (2025). Parsimonious Factor Models for Asymmetric Dependence in Multivariate Extremes. arXiv preprint.

Boris Béranger, Simone A. Padoan (2025). Modelling Extremal Dependence in high-dimensions: A Practical Perspective. arXiv preprint.

Yu Yang, Matias Quiroz, Boris Béranger, Robert Kohn, Scott A. Sisson (2024). Analysing symbolic data by pseudo-marginal methods. arXiv preprint.

Peng Zhong, Scott A. Sisson, Boris Béranger (2024). Fast and flexible inference for spatial extremes. arXiv preprint.

Don Weatherburn, Boris Béranger (2023). The influence of neighbourhood disadvantage on charge dismissal: the case of drunk driving. Current Issues in Criminal Justice, 36(3), 265–282.

Timothy Fricke, Lisa Keay, Serge Resnikoff, Nina Tahhan, Ornella Koumbo, Prakash Paudel, Lauren Ayton, Alexis Britten-Jones, Suhyun Kweon, Josephine Li, Ling Lee, Peter Wagner, Rebecca Weng, Boris Béranger, Jake Olivier (2023). Improving population-level refractive error monitoring via mixture distributions. Ophthalmic and Physiological Optics, 43(3), 445-453.

Boris Béranger, H. Lin, Scott A. Sisson (2023). New models for symbolic data analysis. Advances in Data Analysis and Classification, 17, 659–699.

Prosha A. Rahman, Boris Béranger, Matthew Roughan, Scott A. Sisson (2022). Likelihood-based inference for modelling packet transit from thinned flow summaries. IEEE Transactions on Signal and Information Processing over Networks, 8, 571-583.

Boris Béranger, Alec G. Stephenson, Scott A. Sisson (2021). High-dimensional inference using the extremal skew-t process. Extremes, 24(3), 653-685.

Boris Béranger, Simone A. Padoan, Scott A. Sisson (2021). Estimation and uncertainty quantification for extreme quantile regions. Extremes, 24(2), 349-375.