Sheldon Wu:因果推理-Causal inference in statistics: a primer读书笔记-Chap2 Sheldon Wu:因果推理-Causal inference in statistics: a primer读书笔记-Chap3 Sheldon Wu:因果推理-Causal inference in statistics: a primer读书笔记-Chap4 Chap1:序言:统计和因果模型 -Preliminaries: Statistical and Causal Models 1...
Sheldon Wu:因果推理-Causal inference in statistics: a primer读书笔记-Chap1 Sheldon Wu:因果推理-Causal inference in statistics: a primer读书笔记-Chap2 Sheldon Wu:因果推理-Causal inference in statistics: a primer读书笔记-Chap3 Chap4:反事实及其应用 -Counterfactuals and Their Applications 1. 反事实 - ...
3 (2009) 96–146ISSN: 1935-7516DOI: 10.1214/09-SS057Causal inference in statistics:An overview ∗†‡Judea PearlComputer Science DepartmentUniversity of California, Los Angeles, CA 90095 USAe-mail: judea@cs.ucla.eduAbstract: This reviewpresents empiricalresearcherswith recent advancesin causal...
Causal Inference in Statistics 作者: Judea Pearl 出版社: Wiley副标题: A Primer出版年: 2016-2-19页数: 156定价: GBP 27.99装帧: PaperbackISBN: 9781119186847豆瓣评分 9.3 69人评价 5星 63.8% 4星 29.0% 3星 7.2% 2星 0.0% 1星 0.0% 评价: ...
1. Pearl, Judea, Madelyn Glymour, and Nicholas P. Jewell. Causal inference in statistics: A primer. John Wiley & Sons, 2016.(本书中译版《统计因果推理入门(翻译版)》已由高等教育出版社出版) 2. Peters, Jonas, Dominik Janzing, and Bernhard Schölkopf. Elements of causal inference: foundations...
Causal inference in statistics: An overview This review presents empirical researchers with recent advances in causal inference, and stresses the paradigmatic shifts that must be undertaken in moving... Pearl,Judea - 《Statistics Surveys》 被引量: 1029发表: 2009年 Causal inference in statistics. An...
#读书 《Causal Inference for Statistics, Social, and Biomedical Sciences - An Introduction》,Guido W. Imbens / Donald B. Rubin,牛津大学出版社,2015. 本书的两位作者,Rubin是因果分析的巨擘,Imbens是当红炸子鸡,大多数人看到两位作者就应该对本书充满了期待。 全... (展开) ...
作者:Judea Pearl 出版社:Wiley 出版时间:2016-00-00 印刷时间:0000-00-00 页数:156 ISBN:9781119186847 ,购买Causal Inference in Statistics - A Primer 英文原版 统计中的因果推论-入门 统计学 统计学习 朱迪亚·珀尔 Judea Pearl 为什么:关于因果关系的新科学等
在因果推理的世界里，反事实推理成为了一个强有力的工具。它通过假设某个条件的改变来预测结果，提供了一种对已发生事件的逆向思考方式。在统计学中，反事实推理不仅简化了对因果关系的理解，还为处理现实世界中的不确定性提供了方法。接下来，我们将探索反事实推理的精髓，包括其表示、基本准则、计算步骤、...
Causal Inference in Statistics fills that gap. Using simple examples and plain language, the book lays out how to define causal parameters; the assumptions necessary to estimate causal parameters in a variety of situations; how to express those assumptions mathematically; whether those assumptions have...