A First Course in Causal Inference - Couverture rigide

Livre 18 sur 18: Miller Williams Poetry Prize

Ding, Peng

 
9781032758626: A First Course in Causal Inference
Couverture rigide
ISBN 10 : 1032758627 ISBN 13 : 9781032758626
Editeur : Chapman and Hall/CRC, 2024

Synopsis

The past decade has witnessed an explosion of interest in research and education in causal inference, due to its wide applications in biomedical research, social sciences, artificial intelligence etc. This textbook, based on the author's course on causal inference at UC Berkeley taught over the past seven years, only requires basic knowledge of probability theory, statistical inference, and linear and logistic regressions. It assumes minimal knowledge of causal inference, and reviews basic probability and statistics in the appendix. It covers causal inference from a statistical perspective and includes examples and applications from biostatistics and econometrics.

Key Features:

  • All R code and data sets available at Harvard Dataverse.
  • Solutions manual available for instructors.
  • Includes over 100 exercises.

This book is suitable for an advanced undergraduate or graduate-level course on causal inference, or postgraduate and PhD-level course in statistics and biostatistics departments.

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

À propos de l?auteur

Peng Ding is an Associate Professor in the Department of Statistics at UC Berkeley. His research focuses on causal inference and its applications.

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

Éditeur
Chapman and Hall/CRC
Date d'édition
2024
Langue
anglais
ISBN 10 
1032758627
ISBN 13 
9781032758626
Reliure
Relié
Nombre de pages
448
Coordonnées du fabricant
non disponible
Personne responsable
gpsr@libri.de
gpsr@libri.de

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