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Causal Inference and Machine Learning: In Economics, Social, and Health Sciences - Couverture rigide

Yuksel, Mutlu; Aydede, Yigit

 
9781032820415: Causal Inference and Machine Learning: In Economics, Social, and Health Sciences
Couverture rigide
ISBN 10 : 1032820411 ISBN 13 : 9781032820415
Editeur : Chapman & Hall/CRC, 2025

Synopsis

Bridges gap between modern machine learning methods and applied needs of economists, public health researchers, social scientists. Designed with students and practitioners in mind, introduces machine learning through causal inference. Offers a rigorous yet accessible roadmap for using data to answer real-world policy questions.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

À propos de l'auteur

Mutlu Yuksel is a Professor of Economics at Dalhousie University, Canada, and an applied microeconomist whose research spans labor, health, and development. His recent work applies machine learning and high-dimensional data to complex policy questions. He has received teaching awards and co-founded the ML Portal to support research and training in social and health policy.

Yigit Aydede is the Sobey Professor of Economics at Saint Mary's University, Canada, and an applied economist working at the intersection of econometrics, machine learning, and AI. He teaches data analytics and serves as Faculty in Residence at the Sobey School of Business and as an Affiliate Scientist at Nova Scotia Health. Aydede is also the co-founder of Novastorms.ai and the ML Portal, both focused on data-driven public policy and health research.

À propos de la quatrième de couverture

Bridges gap between modern machine learning methods and applied needs of economists, public health researchers, social scientists. Designed with students and practitioners in mind, introduces machine learning through causal inference. Offers a rigorous yet accessible roadmap for using data to answer real-world policy questions.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
Chapman & Hall/CRC
Date d'édition
2025
Langue
anglais
ISBN 10 
1032820411
ISBN 13 
9781032820415
Reliure
Relié
Numéro d'édition
1
Nombre de pages
816
Coordonnées du fabricant
non disponible
Personne responsable
GPSR Kontakt
gpsr@libri.de

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