Work

Semiparametric Doubly Robust Targeted Double Machine Learning: A Review

Year: 2024

Type: book-chapter

Abstract: In this review, we cover the basics of efficient nonparametric parameter estimation (also called functional estimation), with a focus on parameters that arise in causal inference problems. We review both efficiency bounds (i.e., what is the best possible performance for estimating a given parameter?) and the analysis of particular estimators (i.e., what is this estimator's error, and does it attain the efficiency bound?) under weak assumptions.

Source: Chapman & Hall/CRC eBooks

DOI: 10.1201/9781003216223-10

Author: Edward H. Kennedy

Language: English

Topic: Advanced Causal Inference Techniques

Subfield: Statistics and Probability

Field: Mathematics

Domain: Physical Sciences

Open Access status: green

Funders: National Science Foundation, National Institutes of Health

Awards: Optimal Nonparametric Estimation of High-Dimensional Functionals in Causal Inference, CAREER: Advances in Modern Causal Inference: High Dimensions, Heterogeneity, and Beyond, G6671297155

OpenAlex ID: W4226251339

FWCI: 159.1

Cites:

Cited by: 68

Related to: 10