Results 1 to 10 of about 9,128 (169)
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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Robust Bayes-like estimation: Rho-Bayes estimation [PDF]
The Annals of Statistics, 2020 68 ...
Baraud, Yannick, Birgé, Lucien
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On Consistency of the Bayes Estimator of the Density
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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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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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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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 Inference for the Loss Models via Mixture Priors
Risks, 2023 Constructing an accurate model for insurance losses is a challenging task. Researchers have developed various methods to model insurance losses, such as composite models. Composite models combine two distributions: one for part of the data with small and
Min Deng, Mostafa S. Aminzadeh
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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.
Huggins, Peter +5 more
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IEEE Access, 2020 Mixture modelling has stunning applications to explain the composite problems in simple way. Bayesian demonstration of 3-Component mixture model of Exponentiated Pareto distribution in right-type-I censoring scheme is presented in this article.
Ammara Nawaz Cheema +3 more
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Journal of Statistical Theory and Applications (JSTA), 2018 This paper studies the Bayes estimator, the maximum likelihood estimator and the approximate likelihood estimator of the scale parameter for the Marshall-Olkin exponential distribution under the progressive type-II censored sample.
Mukhtar M. Salah
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