Illustrating empirical Bayes methods [PDF]
Chemometrics and Intelligent Laboratory Systems, 1992 Abstract Empirical Bayes methods have found increasing use in statistical analyses. These methods allow the modelling of complicated systems and provide a mechanism for obtaining parameter estimates. They are based on Bayesian models, but employ alternate estimation techniques.
George Casella
exaly +9 more sources
Evaluation of elicitation methods to quantify Bayes linear models [PDF]
, 2010 The Bayes linear methodology allows decision makers to express their subjective beliefs and adjust these beliefs as observations are made. It is similar in spirit to probabilistic Bayesian approaches, but differs as it uses expectation as its primitive ...
T Bedford +5 more
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Applying Bayes linear methods to support reliability procurement decisions [PDF]
, 2008 Bayesian methods are common in reliability and risk assessment, however, such methods often demand a large amount of specification and can be computationally intensive.
Bedford, Tim +3 more
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Bayes linear kinematics in the analysis of failure rates and failure time distributions [PDF]
, 2010 Collections of related Poisson or binomial counts arise, for example, from a number of different failures in similar machines or neighbouring time periods.
K J Wilson +3 more
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Empirical Bayes methodology for estimating equipment failure rates with application to power generation plants [PDF]
, 2008 Many reliability databases pool event data for equipment across different plants. Pooling may occur both within and between organizations with the intention of sharing data across common items within similar operating environments to provide better ...
Hutchison, Kenneth +3 more
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Nonparametric Estimation of Multivariate Copula Using Empirical Bayes Methods
Mathematics, 2023 In the fields of finance, insurance, system reliability, etc., it is often of interest to measure the dependence among variables by modeling a multivariate distribution using a copula.
Lu Lu, Sujit Ghosh
doaj +1 more source
A New Heuristic Approach for Treating Missing Value: ABCimp
Elektronika ir Elektrotechnika, 2019 Missing values in datasets present an important problem for traditional and modern statistical methods. Many statistical methods have been developed to analyze the complete datasets.
Pinar Cihan, Zeynep Banu Ozger
doaj +1 more source
Bayes-Optimal Methods for Finding the Source of a Cascade [PDF]
ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2021 6 pages, 2 ...
Anirudh Sridhar, H. Vincent Poor
openaire +2 more sources
Sparse Bayesian learning-based mainlobe blanket jamming suppression algorithm
The Journal of Engineering, 2019 The suppression of mainlobe jamming (MLJ) is a hard task and an open problem in the electronic counter-countermeasures field. In this article, a sparse Bayesian learning (SBL)-based mainlobe blanket jamming suppression algorithm is proposed for solving ...
Bilei Zhou +4 more
doaj +1 more source
Feature selection approach using ensemble learning for network anomaly detection
CAAI Transactions on Intelligence Technology, 2020 Feature selection is essential for prioritising important attributes in data to improve prediction quality in machine learning algorithms. As different selection techniques identify different feature sets, relying on a single method may result in risky ...
Doreswamy +2 more
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