Marc Genton, Huang Huang and colleagues from KAUST organized a global competition with 21 competing teams to compare different approximation methods for analyzing large spatial datasets.
The evolving periodicity of the brightness of certain types of stars can now be described mathematically.
Introducing KAUST’s very own "THE FANTASTATISTICS 4." Gaurav Agarwal, Jian Cao, Wanfang Chen, and Yuxiao Li are four Ph.D. alumni from the Statistics program at KAUST. The four students obtained their Ph.D.s last year under the supervision of Professor Ying Sun, Agarwal and Li, and Distinguished Professor Marc Genton, Cao and Chen, respectively.
Members of the KAUST American Statistical Association (ASA) student chapter recently came together for the group’s second online meeting held on Tuesday, November 10, 2020. The meeting served as an orientation exercise for new KAUST Statistics (STAT) Program students while also highlighting the shared experience of STAT Ph.D. candidates: Jian Cao, Wanfang Chen, Yuxiao Li, and Gaurav Agarwal.
Harnessing the power of deep learning leads to better predictions of patient admissions and flow in emergency departments.
Prediction of wind speed and direction for up to several hours in advance improves Saudi Arabia’s wind energy potential.
Turning your desktop to a Supercomputer with ExaGeoStatR
Download at https://github.com/ecrc/exageostatR.
Remember the old times where you had to leave your R simulations running for the whole night on your desktop due to a large climate/weather dataset?
High-resolution analysis of wind speed across Saudi Arabia can help fast track the expansion of the Kingdom’s emerging world-class wind energy industry.
A universal high-performance computing interface allows popular statistical tools to run efficiently on large geospatial datasets.
Wanfang Chen, a Ph.D. candidate in statistics, and member of Distinguished Professor Marc Genton’s Spatio-Temporal Statistics & Data Science (STSDS) research group, recently won a Student Paper Award sponsored by the Section on Statistics and the Environment (ENVR) of the American Statistical Association (ASA).