A First Course in Causal Inference (Chapman & Hall/CRC Texts in Statistical Science)
by Peng Ding
A First Course in Causal Inference offers an introduction to the principles and methods used to study cause-and-effect relationships. Written for readers beginning in the field, it presents causal inference within a statistical science framework and serves as a course-oriented reference for foundational study.
About This Book
A First Course in Causal Inference introduces the study of cause-and-effect relationships through the lens of statistical science.
The book is designed as an introductory course text, making it suitable for readers beginning their study of causal inference.
Its focus is on foundational ideas and methods in causal inference, within a broader statistical framework.
Written by Peng Ding, this title is part of the Chapman & Hall/CRC Texts in Statistical Science series.
Reviews
No reviews yet. Be the first to review this book!