Giles Hooker's research focuses on statistical problems in machine learning, functional data analysis, robust statistics and nonlinear differential equation models. This involves estimating parameters for such equations, diagnosing when and why equations do not fit data well and developing statis...
Giles Hooker's research focuses on statistical problems in machine learning, functional data analysis, robust statistics and nonlinear differential equation models. This involves estimating parameters for such equations, diagnosing when and why equations do not fit data well and developing statistical theory to account for smooth perturbations of such systems.