Results 1 to 10 of about 64,045 (165)
An improved Bayes empirical Bayes estimator [PDF]
Consider an experiment yielding an observable random quantity X whose distribution Fθ depends on a parameter θ with θ being distributed according to some distribution G0.
R. J. Karunamuni, N. G. N. Prasad
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On Inconsistent Bayes Estimates of Location
This paper is related to the authors paper ibid. 14, 1-26 (1986; see the foregoing review, Zbl 0595.62022). In some relatively natural settings, Bayes estimates of location are shown to be inconsistent.
Diaconis, P., Freedman, D.
exaly +4 more sources
Robust Bayes-like estimation: Rho-Bayes estimation [PDF]
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Baraud, Yannick, Birgé, Lucien
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Estimation and comparison of conventional and genomic breeding values in Holstein cattle of Antioquia, Colombia [PDF]
Objetive. To estimate and compare breeding values (EBV) using the conventional method (BLUP) and genomic breeding values (MEBV and GEBV) estimated through bayes C method for milk yield and milk quality traits in dairy cattle in Antioquia, Colombia ...
Juan Zambrano A +3 more
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Small Area Estimation (SAE) is one of the statistical methods that used to estimate parameters of model from small subpopulations. Because of that, additional information is needed to predict these parameters that will result a more accurate predictive ...
Ferra Yanuar +2 more
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Bayes Estimators for Phylogenetic Reconstruction [PDF]
Tree reconstruction methods are often judged by their accuracy, measured by how close they get to the true tree. Yet most reconstruction methods like ML do not explicitly maximize this accuracy. To address this problem, we propose a Bayesian solution.
Peter Huggins +5 more
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Estimation of the Parameters and Reliability Function of a Generalized Life Testing Model [PDF]
This paper obtains a new estimates of the parameters of the generalized life testing model by using maximum likelihood, Bayesian and Lindley Bayes approximation procedures.
M. A. T. El-Shahat
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This paper derives Bayes shrinkage estimator of Rayleigh parameter and its associated risk based on conjugate prior under the assumption of general entropy loss function for progressive type-II censored data. Risk function of maximum likelihood estimate,
Sanku Dey +2 more
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Throughout this paper we are concerned with the problem of estimating a real parameter when the loss function is such that the Bayes estimate exists, is unique, and satisfies a simple Equation, (1.5). If the estimate is unbiased (in the general sense of Lehmann [3]) we show under weak conditions that it must satisfy another Equation, (1.14).
Bickel, Peter J., Blackwell, David
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On the Consistency of Bayes Estimates
The authors of this special invited paper give the following summary: ''We discuss frequency properties of Bayes rules, paying special attention to consistency. Some new and fairly natural counterexamples are given, involving nonparametric estimates of location.
Diaconis, Persi, Freedman, David
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