About Yuxiao Li Yuxiao Li Ph.D., Statistics Environmental Statistics statistics Yuxiao Li obtained his Ph.D. degree in Statistics from King Abdullah University of Science and Technology (KAUST) under the supervision of Professor Ying Sun in the Environmental Statistics group. Education and Early Career: Yuxiao obtained his Bachelor of Science degree in Mathematics in 2013 from Beijing Institute of Technology, Beijing, China. In 2015, he graduated with his Master of Science degree in Statistics from the University of California at Irvine, USA. Then, he joined the Ph.D. program in Statistics at KAUST. Research Interest: His research interests lie in the fields such as Events Presented Events Nov 1 - Nov 7, 2020 Spatio-Temporal Prediction and Stochastic Simulation for Large-Scale Nonstationary Processes Yuxiao Li, Ph.D., Statistics Nov 2, 16:00 - 18:00 KAUST Environmental statistics plays an important role in many related applications, such as weather-related risk assessment for urban design and crop growth. However, modeling the spatio-temporal dynamics of environmental data is challenging due to their inherent high variability and nonstationarity. This dissertation focuses on the modeling, simulation, and prediction of spatio-temporal processes using statistical techniques and machine learning algorithms, especially for nonstationary processes.
Spatio-Temporal Prediction and Stochastic Simulation for Large-Scale Nonstationary Processes Yuxiao Li, Ph.D., Statistics Nov 2, 16:00 - 18:00 KAUST Environmental statistics plays an important role in many related applications, such as weather-related risk assessment for urban design and crop growth. However, modeling the spatio-temporal dynamics of environmental data is challenging due to their inherent high variability and nonstationarity. This dissertation focuses on the modeling, simulation, and prediction of spatio-temporal processes using statistical techniques and machine learning algorithms, especially for nonstationary processes.
Engage ORCID ShareClipboard Related Sites Environmental Statistics (ES) Statistics (STAT) Related Content Articles 10 Events 1 Related Links Efficient Estimation of Non-stationary Spatial Covariance Functions Linkedin
