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On Bayes methods for on-line Boolean prediction
Proceedings of the ninth annual conference on Computational learning theory - COLT '96, 1996zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Nicolò Cesa-Bianchi +2 more
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Illustrating empirical Bayes methods [PDF]
Chemometrics and Intelligent Laboratory Systems, 1992 35 pages, 1 article*Illustrating Empirical Bayes Methods* (Casella, George) 35 ...
Casella, George +3 more
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Applied Statistics, 1992
Empirical Bayes Methods. By J. Maritz and T. Lwin. ISBN 0 412 27760 3. Chapman and Hall, London, 1989. xii + 284 pp. £27.50.
Karen Young, J. Maritz, T. Lwin
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Empirical Bayes Methods. By J. Maritz and T. Lwin. ISBN 0 412 27760 3. Chapman and Hall, London, 1989. xii + 284 pp. £27.50.
Karen Young, J. Maritz, T. Lwin
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Information-theoretic asymptotics of Bayes methods
IEEE Transactions on Information Theory, 1990In the absence of knowledge of the true density function, Bayesian models take the joint density function for a sequence of n random variables to be an average of densities with respect to a prior. The authors examine the relative entropy distance D/sub n/ between the true density and the Bayesian density and show that the asymptotic distance is (d/2 ...
Bertrand S. Clarke, Andrew R. Barron
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Innovations in Bayes and empirical Bayes methods: estimating parameters, populations and ranks
Statistics in Medicine, 1999By formalizing the relation among components and 'borrowing information' among them, Bayes and empirical Bayes methods can produce more valid, efficient and informative statistical evaluations than those based on traditional methods. In addition, Bayesian structuring of complicated models and goals guides development of appropriate statistical ...
T A, Louis, W, Shen
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Disease mapping using empirical bayes and bayes methods on mortality statistics in the Netherlands
Statistics in Medicine, 1993AbstractData from the 64 public health service districts in the Netherlands, describing the health status of the Dutch population, were used to construct maps for several causes of deaths. The choice and estimation of the relative risk measure is described.
Heisterkamp, SH, Doornbos, G, Gankema, M
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A Comparison of Hierarchical Bayes and Empirical Bayes Methods with a Forestry Application
Forest Science, 1992Abstract Gibbs sampling for generating marginal posterior distributions in Bayesian analysis is introduced to the forestry literature. Hierarchical Bayes and (parametric) empirical Bayes methods are compared theoretically and with a practical example.
Edwin J. Green, William E. Strawderman
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THE BAYES METHODS FOR SEEKING THE EXTREMAL POINT
Kybernetes, 1974A number of problems in engineering and in the sciences may be formulated as involving a search for the extremal point of some multivariable utility function f. The Bayes method may be used for achieving this aim. This method has recently been applied to some problems for planning “extremal” experiments in chemistry and in agrophysics, and for the ...
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1983
A statistical procedure is robust if its behavior is not very sensitive to the assumptions which justify it. In classical statistics these are assumptions about a probability model {P θ ,θ∈Θ} for the observations in Y, and about a loss function L connecting the decision and unknown parameter value.
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A statistical procedure is robust if its behavior is not very sensitive to the assumptions which justify it. In classical statistics these are assumptions about a probability model {P θ ,θ∈Θ} for the observations in Y, and about a loss function L connecting the decision and unknown parameter value.
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Empirical Bayes Ranking Methods
Journal of Educational Statistics, 1989Ranking problems arise in setting priorities for investigations, in providing a simple summary of performance, in comparing objects in a manner robust to measurement scale, and in a wide variety of other applications. Commonly, rankings are computed from measurements that depend on the true attribute.
Nan M. Laird, Thomas A. Louis
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