CEMSE researchers Matheus Guerrero, Raphaël Huser and Hernando Ombao developed a new approach for analyzing seizures in epilepsy patients by applying extreme value theory to real EEG seizure data.
New paper accepted: Castro-Camilo, D., Huser, R., and Rue, H. (2022+), Practical strategies for GEV-based regression models for extremes, Environmetrics, to appear [PDF preprint]
New paper accepted: Yadav, R., Huser, R., and Opitz, T. (2022+), A flexible Bayesian hierarchical modeling framework for spatially dependent peaks-over-threshold data, Spatial Statistics, to appear [PDF preprint]
Left: Rishikesh before starting his PhD defense.
Picture taken at a group dinner, with Xuanjie (front row, 5th from the right) and Prof.
KAUST’s Extreme Statistics Group has developed an improved statistical model for analyzing environmental data of extreme events, such as heavy rainfall or strong wind data.
New paper accepted: Guerrero, M. B., Huser, R., and Ombao, H. (2022+), Conex-Connect: Learning patterns in extremal brain connectivity from multi-channel EEG data, Annals of Applied Statistics, to appear [PDF preprint].
A team of KAUST statisticians has analyzed the price movements of the top five cryptocurrencies to further understand their market behavior. Their model will help investors assess the risks of investing in cryptocurrencies.
New paper accepted: Zhang, Z., Huser, R., Opitz, T., and Wadsworth, J. L.
