Riesz Representers for the Rest of Us
The application of semiparametric efficient estimators, particularly those that leverage machine learning, is rapidly expanding within epidemiology and causal inference. This literature is increasingly invoking the Riesz representation theorem and Riesz regression. This paper aims to introduce the Riesz representation theorem to an epidemiologic audience, explaining what it is and why it is useful, using step-by-step worked examples.
Authors
- Nicholas Williams (ORCID: https://orcid.org/0000-0002-1378-4831)
- Kara E. Rudolph
- Oliver J. Hines
Institutions
- Columbia University (US)
Publication Details
- Journal
- Epidemiology
- Published
- 2026-05-21
- DOI
- https://doi.org/10.1097/ede.0000000000001996
- Primary Topic
- Advanced Causal Inference Techniques
- Type
- article
- Field-Weighted Citation Impact
- 0.00