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Causation, Prediction, and Search
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.
Book Details
- Publisher: Springer
- Publish Date: Sep 26th, 2011
- Pages: 530
- Language: English
- Edition: Softcover Repri - undefined
- Dimensions: 9.21in - 6.14in - 1.13in - 1.70lb
- EAN: 9781461276500
- Categories: • Probability & Statistics - General• Applied
What people are saying
Patricia Churchland
@patchurchland
2 years
I am a neurophilosopher, so work at the interface of philosophy, neuroscience & psychology. On questions like where do values come from, what is self & awarene?
Peter Spirtes and Clark Glymour have an excellent book on causation, prediction and search. With excellent additional refs. They are smart, knowledgeable and worked at Carnegie Mellon. https://t.co/e747Z5gstL
What people are saying
Patricia Churchland
@patchurchland
2 years
I am a neurophilosopher, so work at the interface of philosophy, neuroscience & psychology. On questions like where do values come from, what is self & awarene?
Peter Spirtes and Clark Glymour have an excellent book on causation, prediction and search. With excellent additional refs. They are smart, knowledgeable and worked at Carnegie Mellon. https://t.co/e747Z5gstL