Metric graphs

Gaussian Random Fields on Metric Graphs

David Bolin, Professor, Statistics

Sep 11, 12:00 - 13:00

B9 B2 L2325

Gaussian random fields Metric graphs Statistical Modeling

This talk presents a comprehensive mathematical and statistical theory, along with user-friendly software, for modeling data with Gaussian random fields on metric graphs by developing valid covariance functions based on network distance.

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.

Vaibhav Mehandiratta

Postdoctoral Research Fellow, Statistics

Stochastic fractional differential equations Metric graphs numerical analysis optimal control problems

Vaibhav Mehandiratta is a Post-Doctoral fellow In the CEMSE Division, Statistics program, at the King Abdullah University of Science and Technology (KAUST), under the supervision of Professor David Bolin. Vaibhav received his PhD from the Department of Mathematics, Indian Institute of Technology Delhi in November 2022. He joined KAUST as a Post-Doctoral fellow in January 2023.