Causal Inference in Statistics: A Primer
by Judea Pearl, Madelyn Glymour, Nicholas P. Jewell
Causal Inference in Statistics: A Primer provides an introduction to the statistical study of cause and effect. Written by Judea Pearl, Madelyn Glymour, and Nicholas P. Jewell, this accessible primer is intended for readers building a foundation in causal inference and its relationship to statistical reasoning.
About This Book
Causal Inference in Statistics: A Primer introduces the study of cause and effect through a statistical perspective.
Written by Judea Pearl, Madelyn Glymour, and Nicholas P. Jewell, the book is designed as a primer for readers seeking a foundation in causal inference.
Its focus is the relationship between causal questions and statistical methods.
The title presents the subject in a concise, introductory format for learners and readers interested in statistics.
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