Causal Inference in Statistics: A Primer
by Judea Pearl, Madelyn Glymour, Nicholas P. Jewell
A concise introduction to causal inference methods and their role in statistical analysis, suitable for students and researchers.
About This Book
This primer introduces the fundamental concepts of causal inference in statistics.
It covers key methods and frameworks used to understand cause-and-effect relationships.
The book is designed for readers seeking a structured approach to causal analysis.
Content focuses on statistical principles and their practical relevance.
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