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" Generalized linear models : "
edited by Dipak K. Dey, Sujit K. Ghosh, Bani K. Mallick.
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BL
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| Record Number
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957173
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| Doc. No
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b711543
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| Title & Author
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Generalized linear models : : a Bayesian perspective /\ edited by Dipak K. Dey, Sujit K. Ghosh, Bani K. Mallick.
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| Publication Statement
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New York :: Marcel Dekker,, ©2000.
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| Series Statement
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Biostatistics ;; 5
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| Page. NO
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xvi, 423 pages :: illustrations ;; 27 cm.
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| ISBN
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0824790340
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: 9780824790349
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| Notes
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Includes index.
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| Bibliographies/Indexes
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Includes bibliographical references and index.
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| Contents
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I. General overview -- 1. Generalized linear models: A Bayesian view -- 2. Random effects in generalized linear mixed models (GLMMs) -- 3. Prior elicitation and variable selection for generalized linear mixed models -- II. Extending the GLMs -- 4. Dynamic generalized linear models -- 5. Bayesian approaches for overdispersion in generalized linear models -- 6. Bayesian generalized linear models for inference about small areas -- III. Categorical and longitudinal data -- 7. Bayesian methods for correlated binary data -- 8. Bayesian analysis for correlated ordinal data models -- 9. Bayesian methods for time series count data -- 10. Item response modeling -- 11. Developing and applying medical practice guidelines following acute myocardial infarction: A case study using Bayesian probit and logit models -- IV. Semiparametric approaches -- 12. Semiparametric generalized linear models: Bayesian approaches -- 13. Binary response regression with normal scale mixture links -- 14. Binary regression using data adaptive robust link functions -- 15. A mixture-model approach to the analysis of survival data -- V. Model diagnostics and variable selection in GLMs -- 16. Bayesian variable selection using the Gibbs sampler -- 17. Bayesian methods for variable selection in the Cox model -- 18. Bayesian model diagnostics for correlated binary data -- VI. Challenging approaches in GLMs -- 19. Bayesian errors-in-variables modeling -- 20. Bayesian analysis of compositional data -- 21. Classification trees -- 22. Modeling and inference for point-referenced binary spatial data -- 23. Bayesian graphical models and software for GLMs.
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| Subject
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Bayesian statistical decision theory.
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| Subject
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Linear models (Statistics)
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Bayes Theorem.
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Linear Models.
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Bayesian statistical decision theory.
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Linear models (Statistics)
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Lineares Modell
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Modèles linéaires (statistique)
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Statistique bayésienne.
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Lineaire modellen.
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Methode van Bayes.
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| Dewey Classification
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519.5/35
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| LC Classification
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QA276.G433 2000
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| NLM classification
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31.70bcl
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MAT 622fstub
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QH 233rvk
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SK 840rvk
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| Added Entry
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Dey, Dipak.
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Ghosh, Sujit K.,1970-
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Mallick, Bani K.,1965-
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