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Causation, Prediction, and Search

  • Book
  • © 1993

Overview

Part of the book series: Lecture Notes in Statistics (LNS, volume 81)

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About this book

This book is intended for anyone, regardless of discipline, who is interested in the use of statistical methods to help obtain scientific explanations or to predict the outcomes of actions, experiments or policies. Much of G. Udny Yule's work illustrates a vision of statistics whose goal is to investigate when and how causal influences may be reliably inferred, and their comparative strengths estimated, from statistical samples. Yule's enterprise has been largely replaced by Ronald Fisher's conception, in which there is a fundamental cleavage between experimental and non­ experimental inquiry, and statistics is largely unable to aid in causal inference without randomized experimental trials. Every now and then members of the statistical community express misgivings about this turn of events, and, in our view, rightly so. Our work represents a return to something like Yule's conception of the enterprise of theoretical statistics and its potential practical benefits. If intellectual history in the 20th century had gone otherwise, there might have been a discipline to which our work belongs. As it happens, there is not. We develop material that belongs to statistics, to computer science, and to philosophy; the combination may not be entirely satisfactory for specialists in any of these subjects. We hope it is nonetheless satisfactory for its purpose.

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Keywords

Table of contents (13 chapters)

Authors and Affiliations

  • Department of Philosophy, Carnegie Mellon University, Pittsburgh, USA

    Peter Spirtes, Clark Glymour, Richard Scheines

Bibliographic Information

  • Book Title: Causation, Prediction, and Search

  • Authors: Peter Spirtes, Clark Glymour, Richard Scheines

  • Series Title: Lecture Notes in Statistics

  • DOI: https://doi.org/10.1007/978-1-4612-2748-9

  • Publisher: Springer New York, NY

  • eBook Packages: Springer Book Archive

  • Copyright Information: Springer-Verlag New York, Inc. 1993

  • Softcover ISBN: 978-1-4612-7650-0Published: 26 September 2011

  • eBook ISBN: 978-1-4612-2748-9Published: 06 December 2012

  • Series ISSN: 0930-0325

  • Series E-ISSN: 2197-7186

  • Edition Number: 1

  • Number of Pages: XXIV, 530

  • Topics: Applications of Mathematics

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