Results 1 to 10 of about 115,511 (117)
Using Empirical Bayes Methods to Rank Counties on Population Health Measures [PDF]
Preventing Chronic Disease, 2013 University of Wisconsin Population Health Institute has published County Health Rankings (The Rankings) since 2010. These rankings use population-based data to highlight variation in health and encourage health assessment for all US counties.
Jessica K. Athens, PhD +3 more
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Empirical Bayes Methods, Evidentialism, and the Inferential Roles They Play [PDF]
EntropyEmpirical Bayes-based Methods (EBM) is an increasingly popular form of Objective Bayesianism (OB). It is identified in particular with the statistician Bradley Efron.
Samidha Shetty +2 more
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Application Of Naïve Bayes to Predict the Potential of Rain in Ternate City [PDF]
E3S Web of Conferences, 2021 The amount of rainfall that occurs cannot be determined with certainty, but it can be predicted or estimated. In predicting the potential for rain, data mining techniques can be used by classifying data using the naive Bayes method. Naïve Bayes algorithm
Ali Alwin +3 more
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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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State-of-Charge estimation of Li-ion battery at different temperatures using particle filter
The Journal of Engineering, 2019 State-of-Charge (SOC) estimation is one of the fundamental functions undertaken by Battery Management System (BMS) in an Electric Vehicle (EV) to assess the residual service time of the battery during operation.
Venu Sangwan +2 more
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Multi-radar fusion technique for high-resolution ISAR imaging in sea-cluttered environment
The Journal of Engineering, 2019 Radar imaging of the ship is one of the important means for surveillance and reconnaissance of targets. Here, the K-distribution is used for the statistical characterisation of echo model in sea-clutter environment.
Liu Yi +3 more
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High Voltage, 2019 Dispersion nature of water droplets over the insulator surface is used for hydrophobicity classification. Stochastic nature of water dispersions makes naive Bayesian classifier a preferable choice, which has been investigated in this work.
Rajamohan Jayabal +3 more
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Passive radar sparse imaging with transmitter and receiver position errors
The Journal of Engineering, 2019 Passive radar sparse imaging requires accurate known system observation matrix, but in practical applications there usually exists transmitter and receiver position errors, which would make radar observation matrix partially unknown, resulting in ...
Tianyun Wang +4 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
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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
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