KAUST Ph.D. student Zhuo Qu and fellow students from the Statistics Program launched the first American Statistical Association (ASA) student chapter outside of the U.S. in October 2019. The chapter aims to encourage and provide opportunities for KAUST students interested in statistics to connect with statisticians worldwide. In 2020, the chapter plans to organize seminars and connect students interested in statistics and data mining. Why it matters: This initiative highlights KAUST's commitment to fostering a global network of statisticians and promoting data analysis skills among its students, enhancing its role as a hub for international collaboration in STEM fields.
KAUST researchers led by Professor Pei-Ying Hong reported new insights into bacterial transformation, potentially impacting wastewater treatment policies. Professor Havard Rue's group released a new statistical package for modeling non-Gaussian datasets, compatible with commercial software. These achievements highlight KAUST's contributions to environmental science and statistical computing. Why it matters: These research outputs strengthen KAUST's reputation as a leading research institution in Saudi Arabia, with practical implications for environmental policy and advanced data analysis.
A new framework for constructing confidence sets for causal orderings within structural equation models (SEMs) is presented. It leverages a residual bootstrap procedure to test the goodness-of-fit of causal orderings, quantifying uncertainty in causal discovery. The method is computationally efficient and suitable for medium-sized problems while maintaining theoretical guarantees as the number of variables increases. Why it matters: This offers a new dimension of uncertainty quantification that enhances the robustness and reliability of causal inference in complex systems, but there is no indication of connection to the Middle East.
KAUST Ph.D. alumna Sabrina Vettori and Ph.D. student Yuxiao Li received a Distinguished Student Paper Award at the 2018 Eastern North American Region (ENAR) Spring Meeting of the International Biometric Society. Li's paper focused on efficient estimation for non-stationary spatial covariance functions, while Vettori's paper addressed Bayesian hierarchical modelling of air pollution extremes. Both students were recognized for their contributions to statistical environmental studies and air pollution modeling. Why it matters: This award highlights KAUST's commitment to fostering high-quality research and recognizes the achievements of its students in addressing critical environmental challenges.
KAUST Professor Marc Genton received the International Statistical Institute's Service Award 2019 for his leadership as editor-in-chief of the journal Stat. His research group at KAUST focuses on developing statistical tools relevant to Saudi Arabia's knowledge economy transition. Genton is also working with the University of Notre Dame on wind energy implementation and infrastructure assessment for NEOM. Why it matters: This award recognizes KAUST's contributions to statistical research and its application to renewable energy and economic development in Saudi Arabia.
KAUST Ph.D. student Gaurav Agarwal won the best student paper award at the International Indian Statistical Association's 2019 Student Paper Competition for his work on the joint distribution of wind speed and direction. Agarwal's research involved developing a visualization tool for bivariate functional data, which can be used in climate and weather prediction models. He also received a scholarship based on his contributions using R. Why it matters: This award recognizes innovative work in environmental statistics at KAUST, highlighting the university's contributions to data science and statistical learning with applications to climate modeling.
Prof. Marc Genton of KAUST has been appointed Editor-in-Chief of Stat, the ISI online journal for rapid dissemination of statistics research. His term will run from January 1, 2015, to December 31, 2017. Genton aims to maintain the journal's rapid publication speed and improve the quality of accepted papers. Why it matters: This appointment highlights KAUST's growing influence and expertise in statistical research on the international stage.
KAUST Ph.D. student Yuxiao Li received a Student Paper Award from the American Statistical Association (ASA) for his paper on efficient estimation of non-stationary spatial covariance functions. The award-winning paper is Li's first research paper at KAUST, completed as a member of the Environmental Statistics Group led by Professor Ying Sun. His research focuses on short-term space-time precipitation modeling, addressing the challenges of modeling rainfall zeros and amounts along with complex spatio-temporal dependencies. Why it matters: This award recognizes KAUST's contributions to advanced statistical methods for environmental modeling, highlighting the university's strength in addressing complex environmental challenges.