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Bayes and Maximum Likelihood Methods
2010While the parameter estimation methods presented so far assumed that the parameters θ and the observations of the output y are deterministic values, the parameters themselves and/or the output will now be seen in a stochastic view as a series of random variables.
Rolf Isermann, Marco Münchhof
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The Accepted Bayes Method of Estimation
2011We give a brief description of the structure of Bayes estimates with the help of formal mathematical constructions of the Bayes theory. The Bayes scheme of the decision theory includes the following four components. 1) The statistical model, represented by the probability space.
Vladimir Savchuk, Chris P. Tsokos
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Empirical Bayes Methods in Labor Economics
SSRN Electronic JournalLabor economists increasingly work in empirical contexts with large numbers of unit-specific parameters. These settings include a growing number of value-added studies measuring causal effects of individual units like firms, managers, neighborhoods, teachers, schools, doctors, hospitals, police officers, and judges. Empirical Bayes (EB) methods provide
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Semi-Bayes and empirical Bayes adjustment methods for multiple comparisons.
Epidemiologia e prevenzione, 2008Epidemiological studies often involve multiple comparisons, and may therefore report many "false positive" statistically significant findings simply because of the large number of statistical tests involved. Traditional methods ofadjustment for multiple comparisons, such as the Bonferroni method, may induce investigators to ignore potentially important
CORBIN, MARINE +5 more
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Estimating a Population of Parameter Values Using Bayes and Empirical Bayes Methods
Journal of the American Statistical Association, 1984Thomas A. Louis
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Revue de l'Institut International de Statistique / Review of the International Statistical Institute, 1971
R. G. Krutchkoff, J. S. Maritz
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R. G. Krutchkoff, J. S. Maritz
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