Causation, Prediction, and Search
- List Price: $65.00
- Binding: Hardcover
- Edition: 2
- Publisher: Mit Pr
- Publish date: 01/01/2001
- ISBN: 9780262194402
- ISBN10: 0262194406
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.