Computational Statistics

Research Frontiers in Debiased Machine Learning and Causal Effect Estimation

Computational methods for extracting causal parameters from high-dimensional nuisance models while maintaining statistical efficiency and asymptotic normality.

All Computational Statistics PhD categories