A First Course in Causal Inference (因果推斷入門)

Ding, Peng

A First Course in Causal Inference
  • 出版商: CRC
  • 出版日期: 2024-07-31
  • 售價: $2,980
  • 貴賓價: 9.5 折 $2,831
  • 語言: 英文
  • 頁數: 422
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 1032758627
  • ISBN-13: 9781032758626

    • 立即出貨 (庫存 < 3)

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商品描述

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.

商品描述(中文翻譯)

過去十年，因果推斷的研究和教育引起了廣泛的關注，這主要歸功於其在生物醫學研究、社會科學、人工智慧等領域的廣泛應用。本教科書基於作者在加州大學伯克利分校教授的因果推斷課程，該課程已持續七年，只需具備基本的機率論、統計推斷以及線性和邏輯回歸的知識。書中假設讀者對因果推斷的了解非常有限，並在附錄中回顧基本的機率和統計知識。它從統計的角度探討因果推斷，並包含來自生物統計學和計量經濟學的範例和應用。

主要特色：
- 所有 R 代碼和數據集可在哈佛數據庫獲得。
- 提供給教師的解答手冊。
- 包含超過 100 道練習題。

本書適合用於高級本科或研究生層級的因果推斷課程，或統計學和生物統計學系的研究生及博士課程。

作者簡介

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

作者簡介(中文翻譯)

彭丁（Peng Ding）是加州大學伯克利分校統計系的副教授。他的研究專注於因果推斷及其應用。

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