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Author: Yu Kui Wang Hao Liang Jiye

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Introduction to Causal Inference Yu Kui Wang Hao Liang Jiyecompleted This book builds a basic knowledge framework for causal inference. It mainly introduces the basic theories, models, methods, and cutting-edge applications of intelligent causal inference through five chapters: Rubin causal model, Pearl causal model, causal effect calculation based on graphical models, causal structure learning, and causal machine learning, leading students into the interesting and challenging field of causal inference. —Reads8.2Score—Shelves