Description: First Course in Causal Inference, Hardcover by Ding, Peng, ISBN 1032758627, ISBN-13 9781032758626, Like New Used, Free shipping in the US "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. It would be suitable for an advanced undergraduate or graduate-level course on causal inference, or postgraduate and PhD-level course in statistics and biostatistics departments"--
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End Time: 2024-11-09T03:24:43.000Z
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Number of Pages: 422 Pages
Publication Name: First Course in Causal Inference
Language: English
Publisher: CRC Press LLC
Subject: Probability & Statistics / General, General
Publication Year: 2024
Type: Textbook
Author: Peng Ding
Subject Area: Mathematics, Science
Item Length: 10 in
Series: Chapman and Hall/Crc Texts in Statistical Science Ser.
Item Width: 7 in
Format: Hardcover
