Research Explorer

Project

Optimal estimation of nuisance paramters and models in causal inference
Code
3F027211
Duration
01 October 2011 → 30 September 2015
Funding
Regional and community funding: Special Research Fund, Research Foundation - Flanders (FWO)
Research disciplines
  • Natural sciences
    • Applied mathematics in specific fields
    • Statistics
    • Numerical methods
Keywords
semiparametric efficiency nuisance parameter nuisance models MSE causal inference
 
Project description
 

Inferring cause-effect relationships is often hindered by the presence of confounders. Hence, we need to build statistical models to adjust for these confounders. However, these models are not of scientific interest. This project focuses on optimal estimation of nuisance parameters indexing these models and the optimal choice of these nuisance models, both by minimizing the MSE of the causal effect.