A First Course in Causal Inference - Rilegato

Libro 18 di 18: Miller Williams Poetry Prize

Ding, Peng

 
9781032758626: A First Course in Causal Inference
Rilegato
ISBN 10: 1032758627 ISBN 13: 9781032758626
Casa editrice: Chapman and Hall/CRC, 2024

Sinossi

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.

Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.

Informazioni sull?autore

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

Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.

Editore
Chapman and Hall/CRC
Data di pubblicazione
2024
Lingua
Inglese
ISBN 10 
1032758627
ISBN 13 
9781032758626
Rilegatura
Copertina rigida
Numero edizione
1
Numero di pagine
448
Contatto del produttore
non disponibile
Persona responsabile
non disponibile