Metric graphs

MetricGraph

Research Resources

spatial statistics applied statistics bayesian analysis Bayesian and computational Statistics Bayesian Statistics Log-Gaussian Cox process latent Gaussian models Gaussian processes INLA MetricGraph Metric graphs

MetricGraph: A Statistical Framework for Modeling Gaussian Fields on Metric Graphs

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.