Causation, Prediction, and Search, 2nd Edition, vol 1

Peter Spirtes (), Clark Glymour () and Richard Scheines ()
Additional contact information
Peter Spirtes: Carnegie Mellon University
Clark Glymour: Carnegie Mellon University
Richard Scheines: Carnegie Mellon University

in MIT Press Books from The MIT Press

Abstract: What assumptions and methods allow us to turn observations into causal knowledge, and how can even incomplete causal knowledge be used in planning and prediction to influence and control our environment? In this book Peter Spirtes, Clark Glymour, and Richard Scheines address these questions using the formalism of Bayes networks, with results that have been applied in diverse areas of research in the social, behavioral, and physical sciences. The authors show that although experimental and observational study designs may not always permit the same inferences, they are subject to uniform principles. They axiomatize the connection between causal structure and probabilistic independence, explore several varieties of causal indistinguishability, formulate a theory of manipulation, and develop asymptotically reliable procedures for searching over equivalence classes of causal models, including models of categorical data and structural equation models with and without latent variables. The authors show that the relationship between causality and probability can also help to clarify such diverse topics in statistics as the comparative power of experimentation versus observation, Simpson's paradox, errors in regression models, retrospective versus prospective sampling, and variable selection. The second edition contains a new introduction and an extensive survey of advances and applications that have appeared since the first edition was published in 1993.

Keywords: Bayes networks; causal models; Simpson's paradox; regressions models (search for similar items in EconPapers)
JEL-codes: C10 C11 (search for similar items in EconPapers)
Date: 2001
Edition: 1
ISBN: 0-262-19440-6
References: Add references at CitEc
Citations: View citations in EconPapers (31)

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:mtp:titles:0262194406

Access Statistics for this book

More books in MIT Press Books from The MIT Press
Bibliographic data for series maintained by The MIT Press ().