| Edition |
2nd ed. / Peter Spirtes, Clark Glymour, and Richard Scheines ; with additional material by David Heckerman [and others]. |
| Description |
1 online resource (xxi, 543 pages) : illustrations. |
| Physical Medium |
polychrome |
| Description |
text file |
| Series |
Adaptive computation and machine learning
|
|
Adaptive computation and machine learning.
|
| Bibliography |
Includes bibliographical references (pages 495-529) and index. |
| Contents |
1. Introduction and advertisement -- 2. Formal preliminaries -- 3. Causation and prediction : axioms and explications -- 4. Statistical indistinguishability -- 5. Discovery algorithms for causally sufficient structures -- 6. Discovery algorithms without causal sufficiency -- 7. Prediction -- 8. Regression, causation, and prediction -- 9. Design of empirical studies -- 10. Structure of the unobserved -- 11. Elaborating linear theories with unmeasured variables -- 12. Prequels and sequels -- 13. Proofs of theorems. |
| Local Note |
eBooks on EBSCOhost EBSCO eBook Subscription Academic Collection - North America |
| Subject |
Mathematical statistics.
|
|
Mathematical statistics. |
| Genre/Form |
Electronic books.
|
| Added Author |
Glymour, Clark N.
|
|
Scheines, Richard.
|
| Other Form: |
Print version: Spirtes, Peter. Causation, prediction, and search. 2nd ed. Cambridge, Mass. : MIT Press, ©2000 0262194406 (DLC) 00026266 (OCoLC)43555387 |
| ISBN |
9780262284158 (electronic book) |
|
0262284154 (electronic book) |
|
0262194406 |
|
9780262194402 |
|
