Applied Causal Inference Powered by ML and AI

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Auteurs

Date

4 mars 2024

Discipline

Economies et finances

Type de document

Textes imprimés

Périmètre

Publications

Identifiant

2403.02467

Source

arXiv - économie

Collection

Organisation

Cornell University

Mots-clés Und

Economics - Econometrics Computer Science - Machine Learning Statistics - Methodology Statistics - Machine Learning

Sujets proches En

Learning, Machine

Citer ce document

Victor Chernozhukov et al., « Applied Causal Inference Powered by ML and AI », arXiv - économie

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Résumé 0

An introduction to the emerging fusion of machine learning and causal inference. The book presents ideas from classical structural equation models (SEMs) and their modern AI equivalent, directed acyclical graphs (DAGs) and structural causal models (SCMs), and covers Double/Debiased Machine Learning methods to do inference in such models using modern predictive tools.

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