statistical analysis

Statistical Models and Methods Based on Stochastic Partial Differential Equations

David Bolin, Professor, Statistics

Mar 23, 14:00 - 15:30

B9 L2 R2322; Zoom Meeting ID 93209452060

SPDEs non-Gaussian random fields statistical analysis Metric graphs

This talk presents an overview of our research on statistical methods using stochastic partial differential equations (SPDEs), focusing on non-Gaussian random fields and fractional-order SPDEs, and theory for random fields and statistical analysis on metric graphs, highlighting theoretical contributions, software development, and applications relevant to KAUST RDI pillars.

Xiaotian Jin

Ph.D. Student, Statistics

Statistical Modeling spatio-temporal statistics scientific computing Python (Programming Language) statistical analysis algorithms optimization

Xiaotian's research focuses on developing computationally efficient non-Gaussian statistical frameworks and the theoretical analysis, with a particular focus on modeling complex spatio-temporal dependencies in high-dimensional environmental datasets.