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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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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. We study the Bayesian estimation problem of θ under squared error loss function based on X, as well as some additional data available from other similar experiments according to an ...
R. J. Karunamuni, N. G. N. Prasad
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E-Jurnal Matematika, 2013 Small area is an area with insufficient sample for direct estimation. Limited survey objects, cause direct estimation can not produce better parameter estimates.
PUTU EKA ARIWIJAYANTHI +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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Metode Bayes Empirik untuk Memodelkan Data Cacahan dengan Peubah Penyerta pada Pendugaan Area Kecil
Jurnal Matematika UNAND, 2019 Metode Bayes Empirik merupakan suatu metode pada Small Area Estimation(SAE) yang menggunakan metode Bayes dalam pendugaan parameternya. Small Area Estimation(SAE) didefinisikan sebagai suatu teknik statistika untuk menduga parameter-parameter subpopulasi
Nadia Cindi Eka Putri +2 more
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Hybrid Cramér-Rao Bound for Quantum Bayes Point Estimation with Nuisance Parameters. [PDF]
Entropy (Basel)Zhang J, Suzuki J.
europepmc +3 more sources
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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Make the most of your samples : Bayes factor estimators for high-dimensional models of sequence evolution [PDF]
, 2013 Background: Accurate model comparison requires extensive computation times, especially for parameter-rich models of sequence evolution. In the Bayesian framework, model selection is typically performed through the evaluation of a Bayes factor, the ratio ...
Baele, Guy +2 more
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Interval Estimation Naïve Bayes [PDF]
, 2003 Recent work in supervised learning has shown that a surprisingly simple Bayesian classifier called naïve Bayes is competitive with state of the art classifiers. This simple approach stands from assumptions of conditional independence among features given the class.
Robles Forcada, Víctor +4 more
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Land Allocation in the Presence of Estimation Risk
Journal of Agricultural and Resource Economics, 1995 Estimation risk occurs when parameters relevant for decision making are uncertain. Bayes' criterion is consistent with expected-utility maximization in the presence of estimation risk.
Sergio H. Lence, Dermot J. Hayes
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