KAUST graduates are characterized by the rigor of their Ph.D. programs, the long hours spent in the lab and classroom, juggling professional and personal commitments, achieving a work-life balance and, more recently, the ability to adapt to a global pandemic.
KAUST Ph.D. statistics student Paolo Victor Redondo was selected as a runner-up in the American Statistical Association’s (ASA) Statistics in Imaging Section 2023 Distinguished Student Paper Award Competition
Two new papers accepted to the Extremes Special Issue on the EVA Data Competition:
KAUST Associate Professor of Statistics Raphaël Huser has been awarded the Abdel El-Shaarawi Early Investigator (AEEI) Award 2022 from The International Environmetrics Society (TIES), an association of the International Statistical Institute (ISI).
An asymmetric statistical model provides a better fit for imbalanced data with rare "positives," such as longitudinal health datasets.
The workshop will cover current trends in statistics and the statistical modeling of big and complex data. Over four days, it will have talks by leading experts as well as two poster sessions where students and postdocs will present their work. All talks will be given Auditorium 0215, between Buildings 2 and 3 at KAUST.
New paper accepted: Gong, Y., and Huser, R. (2022+), Flexible modeling of multivariate spatial extremes, Spatial Statistics, to appear [PDF preprint].
New paper accepted: Krupskii, P., and Huser, R. (2022+), Modeling spatial tail dependence with Cauchy convolution processes, Electronic Journal of Statistics, to appear [PDF preprint].
New paper accepted: Zhang, Z., Arellano-Valle, R. B., Genton, M. G., and Huser, R. (2022+), Tractable Bayes of skew-elliptical link models for correlated binary data, Biometrics, to appear [PDF preprint].
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]