New modeling shows that heatwaves across Europe have increased in both frequency and spatial extent over the past century.
New paper accepted: Zhong, P., Huser, R., and Opitz, T.
Predicting areas of the Red Sea most susceptible to overheating by the end of the century could help conservation efforts to protect its precious coral reefs.
A prediction model that considers multiple landslides over time in a given region may improve the accuracy of early warning systems.
New paper accepted: Hazra, A., and Huser, R. (2020+), Estimating high-resolution Red Sea surface temperature hotspots, using a low-rank semiparametric spatial model, Annals of Applied Statistics [PDF preprint].
Let’s discover the world of the statisticians at KAUST and be ready to be amazed by their cutting-edge research!
New paper accepted: Lombardo*, L., Opitz, T., Ardizzone, F., Guzzetti, F., and Huser, R. (2020+), Space-time landslide predictive modelling, Earth Science Reviews, to appear [PDF preprint]
Extreme weather patterns and regions at risk of flooding could be easier to spot using a new statistical model for large spatial datasets.
New paper accepted: Hrafnkelsson, B., Siegert, S., Huser, R., Bakka, H., and Jóhannesson, Á. V. (2020+), Max-and-Smooth: a two-step approach for approximate Bayesian inference in latent Gaussian models, Bayesian Analysis, to appear [arXiv].
Throughout the world, organic waste generation is posing serious challenges, threatening food security and water purity and availability. Saudi Arabia is no exception.
