Causation, Prediction, and Search Peter Spirtes, Clark Glymour, and Richard Scheines is an English-language textbook aimed at the use of statistical methods for scientific explanations and predictions. This reference work connects with fields such as applied mathematics and statistics.
The book discusses how causal influences can be inferred from statistical data, returning to the vision of G. Udny Yule. This approach contrasts with the view of Ronald Fisher, who recognizes experimental research in particular for causal conclusions. The work thus positions itself at the intersection of statistics, computer science, and philosophy, where the combination is not always satisfying for specialists, but can be purposeful and fulfilling for those interested in theoretical and practical applications.
Our description touches the core of the topic here and emphasizes that this book addresses the gap between experimental and observational methods. The oeuvre is suitable for professionals looking for a deep understanding of the relationship between statistics and causation.
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Topics: applied mathematics, statistics, theory of causal inference.
Series: Lecture Notes in Statistics