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On Consistency of the Bayes Estimator of the Density [PDF]
Mathematics, 2022 Under mild conditions, strong consistency of the Bayes estimator of the density is proved. Moreover, the Bayes risk (for some common loss functions) of the Bayes estimator of the density (i.e., the posterior predictive density) goes to zero as the sample
Agustín G. Nogales
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An improved Bayes empirical Bayes estimator [PDF]
International Journal of Mathematics and Mathematical Sciences, 2003 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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An Example of an Improvable Rao-Blackwell Improvement, Inefficient Maximum Likelihood Estimator, and Unbiased Generalized Bayes Estimator. [PDF]
Am Stat, 2016 The Rao–Blackwell theorem offers a procedure for converting a crude unbiased estimator of a parameter θ into a “better” one, in fact unique and optimal if the improvement is based on a minimal sufficient statistic that is complete.
Galili T, Meilijson I.
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Robust Bayes-like estimation: Rho-Bayes estimation [PDF]
The Annals of Statistics, 2020 68 ...
Baraud, Yannick, Birgé, Lucien
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Bayesian estimation of Warner’s randomized response technique with transmuted Kumaraswamy prior
Kuwait Journal of Science, 2022 In recent time, the Bayesian approach to randomized response technique has been used for estimating the population proportion especially of respondents possessing sensitive attributes such as induced abortion, tax evasion and shoplifting.
Akinola Oladiran Adepetun +2 more
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The systematic risk estimation models: A different perspective
Heliyon, 2020 In practice, the capital asset pricing model (CAPM) using the parametric estimator is almost certainly being used to estimate a firm's systematic risk (beta) and cost of equity as in Eq. (1).
Le Tan Phuoc, Chinh Duc Pham
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Bayesian Estimation of System Reliability Models Using Monte-Carlo Technique of Simulation
Journal of Statistical Theory and Applications (JSTA), 2021 This paper discusses the problem of how Monte-Carlo simulation method is deal with Bayesian estimation of reliability of system of n s-independent two-state component.
Kirti Arekar, Rinku Jain, Surender Kumar
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Bayes Estimators for Phylogenetic Reconstruction [PDF]
Systematic Biology, 2011 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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An Empirical Bayes Reliability Estimator [PDF]
The Egyptian Statistical Journal, 1980 The reliability function, using exponential life model, is estimated using empirical 'ayes technique. The prior dis-,:ribution which is not assumed known in the empirical Bayes 4pproach, is approximated by Maritz form [3]. The loss func-:ion suggested by
M.R. Abdallah, E.K. El-Hussaini
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Neural Bayes Estimators for Irregular Spatial Data Using Graph Neural Networks [PDF]
Journal of Computational And Graphical Statistics, 2023 Neural Bayes estimators are neural networks that approximate Bayes estimators in a fast and likelihood-free manner. Although they are appealing to use with spatial models, where estimation is often a computational bottleneck, neural Bayes estimators in ...
Matthew Sainsbury-Dale +3 more
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