Searching for "Discussion of Thiruvaiyaru and Basawa's "Empirical Bayes estimation for queueing systems and networks"." – sorted by Relevance.
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Empirical Bayes for Learning to Learn
- Empirical Bayes for Learning to Learn Tom Heskes tom@(email omitted); SNN, University of Nijmegen
- Cited by 12 (1 self) – Add To MetaCart
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Flexible empirical Bayes estimation for wavelets
- Robust Empirical Bayes Estimation in Wavelets Merlise Clyde and Edward I. George 1 Abstract
- Cited by 34 (7 self) – Add To MetaCart
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Naive bayes models for probability estimation
- networks. Section 3 covers the naive Bayes estimator (NBE) model for learning arbitrary joint distributions
- Cited by 8 (2 self) – Add To MetaCart
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Bayes and Gibbs Estimations, Empirical Processes, and Resolution of Singularities
- Bayes and Gibbs Estimations, Empirical Processes, and Resolution of Singularities Sumio Watanabe
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Empirical Bayes approach to block wavelet function estimation
- thresholding estimators. We also discuss an empirical Bayes approach to estimate the hyperparameters
- Cited by 9 (0 self) – Add To MetaCart
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Empirical Bayes Screening for Link Analysis
- will be invalid, since the idea of Empirical Bayes is to estimate the parameters from data. 2.4 Fitting loglinear
- Cited by 1 (1 self) – Add To MetaCart
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Parametric Empirical Bayes Methods for Microarrays
- Parametric Empirical Bayes Methods for Microarray Data Christina Kendziorski, Deepayan Sarkar
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Bayes Networks for Estimating the Number of Solutions to a CSP
- Bayes Networks for Estimating the Number of Solutions to a CSP Amnon Meisels, Solomon Eyal
- Cited by 3 (2 self) – Add To MetaCart
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Corrected small-sample estimation of the Bayes error
- of the Bayes error when only small samples are available. One way to estimate the Bayes error is to design a
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Generalization Error of Linear Neural Networks in an Empirical Bayes Approach
- Generalization Error of Linear Neural Networks in an Empirical Bayes Approach Shinichi Nakajima
- Cited by 1 (1 self) – Add To MetaCart

