Gaussian processes

Haziq Jamil

Research Specialist, Statistics

Statistical Modelling Data Analytics R Bayesian Statistics Gaussian processes spatio-temporal modeling

Haziq Jamil is a Research Specialist at the King Abdullah University of Science and Technology. His research focuses on statistical theory, methods and computation, with a special inclination towards social science applications.

A new class of random field models for data on networks

David Bolin, Professor, Statistics

Oct 3, 12:00 - 13:00

B9 L2 R2322 H1

applied statistics machine learning Gaussian processes

Random fields are popular models in statistics and machine learning for spatially dependent data on Euclidian domains. However, in many applications, data is observed on non-Euclidian domains such as street networks. In this case, it is much more difficult to construct valid random field models. In this talk, we discuss some recent approaches to modeling data in this setting, and in particular define a new class of Gaussian processes on compact metric graphs.