Empirical Bayes and Likelihood Inference
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Author
Contributions
- S.E. Ahmed (Editor) - Contributor
- N. Reid (Editor) - Contributor
Publication
2000-10-23 - Springer
Language
English
Word Count
58,750 words, Guess
Page Count
235 pages
Identifiers
- Open LibraryOL7448670M
- ISBN-139780387950181
- ISBN-100387950184
- OCLC Control Number44681781
- OCLC Control Numberempiricalbayesli148unse
and 2 more
- Library of Congress Control Number00059550
- Goodreads1063149
Classifications
- LCCT57-57.97
Description
Bayesian and likelihood approaches to inference have a number of points of close contact, especially from an asymptotic point of view. Both approaches emphasize the construction of interval estimates of unknown parameters. Empirical Bayes methods have historically emphasized instead the construction of point estimates. In this volume researchers present recent work on several aspects of Bayesian, likelihood and empirical Bayes methods, presented at a workshop held in Montreal, Canada. The goal of the workshop was to explore the linkages among the methods, and to suggest new directions for research in the theory of inference.
Subjects
Other Editions
- Empirical Bayes and Likelihood Inference
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