Riesz Representers for the Rest of Us

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Authors: Nicholas Williams, Oliver Hines, Kara E. Rudolph
Cited by: 0
References: 43

Abstract

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.

Fields of Study & Subjects

Advanced Causal Inference Techniques Statistical Methods and Bayesian Inference Statistical Methods and Inference

Publication details

Journal / source
Epidemiology
Publisher
Ovid Technologies (Wolters Kluwer Health)
Volume
37
Issue
5
Pages
596–602
Publication date
21 May 2026
Language
EN