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Riesz Representers for the Rest of Us
Nicholas T Williams1, Oliver J Hines, Kara E Rudolph
1From the Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY.
None:
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.
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