Description: Further DetailsTitle: A First Course in Causal InferenceCondition: NewFormat: HardbackEAN: 9781032758626Item Weight: 990gLanguage: EnglishISBN-10: 1032758627ISBN: 9781032758626Release Date: 07/31/2024Item Length: 178mmItem Height: 254mmType: MethodologyAuthor: Peng DingPublisher: Chapman & Hall/CRCDescription: 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.Country/Region of Manufacture: GBGenre: Society & CultureTopic: Science Nature & MathBook Series: Chapman & Hall/CRC Texts in Statistical ScienceRelease Year: 2024 Missing Information?Please contact us if any details are missing and where possible we will add the information to our listing.
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Publication Name: A First Course in Causal Inference
Title: A First Course in Causal Inference
EAN: 9781032758626
Item Weight: 990g
ISBN-10: 1032758627
ISBN: 9781032758626
Release Date: 07/31/2024
Release Year: 2024
Item Length: 178mm
Item Height: 254mm
Type: Methodology
Country/Region of Manufacture: GB
Series: Chapman & Hall/CRC Texts in Statistical Science
Publisher: CRC Press LLC
Publication Year: 2024
Book Title: First Course in Causal Inference
Topic: General
Number of Pages: 448 Pages
Language: English
Illustrator: Yes
Genre: Science
Author: Peng Ding
Format: Hardcover