Research Catalog
Statistical and inductive inference by minimum message length
- Title
- Statistical and inductive inference by minimum message length / C.S. Wallace.
- Author
- Wallace, C. S. (Christopher S.), -2004.
- Publication
- New York : Springer, [2005], ©2005.
Items in the Library & Off-site
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1 Item
| Status | Format | Access | Call Number | Item Location |
|---|---|---|---|---|
| Text | Request in advance | QA276.9 .W35 2005 | Off-site |
Holdings
Details
- Description
- xv, 429 pages : illustrations; 25 cm.
- Summary
- "Statistical and Inductive Inference by Minimum Message Length will be of special interest to graduate students and researchers in Machine Learning and Data Mining, scientists and analysts in various disciplines wishing to make use of computer techniques for hypothesis discovery, statisticians and econometricians interested in the underlying theory of their discipline, and persons interested in the Philosophy of Science. The book could also be used in a graduate-level course in Machine Learning, Estimation and Model-selection, Econometrics, and Data Mining."--BOOK JACKET.
- Series Statement
- Information science and statistics
- Uniform Title
- Information science and statistics.
- Subjects
- Bibliography (note)
- Includes bibliographical references (p. [417]-420) and index.
- Contents
- 1. Inductive inference -- 2. Information -- 3. Strict minimum message length (SMML) -- 4. Approximations to SMML -- 5. MML : quadratic approximations to SMML -- 6. MML details in some interesting cases -- 7. Structural models -- 8. The feathers on the arrow of time -- 9. MML as a descriptive theory -- 10. Related work.
- ISBN
- 038723795X (acid-free paper)
- LCCN
- 2004059195
- 9780387237954
- OCLC
- ocm56924886
- SCSB-5205806
- Owning Institutions
- Columbia University Libraries