Results 111 to 120 of about 9,128 (169)
The dynamic growth of bacterial cultures: real-time Bayesian estimation of substrate uptake rates in fed-batch fermentations of E. coli. [PDF]
Ibaceta M +5 more
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Monitoring pilots' mental workload in real flight conditions using multinomial logistic regression with a ridge estimator. [PDF]
Haseeb M +5 more
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PhishNet 1.0: optuna-optimized stacking ensemble with Boruta-based feature selection for phishing URL detection. [PDF]
Jain A +7 more
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Enhancing human activity recognition with machine learning: insights from smartphone accelerometer and magnetometer data. [PDF]
Silva Zendron LA +4 more
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Communications in Statistics - Theory and Methods, 2011
This article deals with robust Bayes estimation, namely Stable action, Conditional Gamma-Minimax action and Posterior Regret Gamma-Minimax action. We extend the results of Meczarski (1993) and obtain the exact actions in each case. The results are applied for a family of one-parameter exponential families introduced by Morris (1983) as an extension of ...
Abdollah Bayati Eshkaftaki +1 more
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This article deals with robust Bayes estimation, namely Stable action, Conditional Gamma-Minimax action and Posterior Regret Gamma-Minimax action. We extend the results of Meczarski (1993) and obtain the exact actions in each case. The results are applied for a family of one-parameter exponential families introduced by Morris (1983) as an extension of ...
Abdollah Bayati Eshkaftaki +1 more
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Bayes empirical Bayes estimation of a poisson mean
Statistics & Probability Letters, 1985In the empirical Bayes (EB) decision problem consisting of squared error estimation of a Poisson mean, a prior distribution \(\Lambda\) is placed on the gamma family of prior distributions to produce Bayes EB estimators which are admissible. A subclass of such estimators is shown to be asymptotically optimal (a.o.).
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Technometrics, 1978
A class of linear estimators, called Bayes linear estimators, is developed by finding, among all linear estimators, ones which have least average total mean squared error, averaged over parameter points. Ridge, generalized ridge, restricted least squares, subset least squares, least squares, best, and generalized inverse linear estimators are all ...
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A class of linear estimators, called Bayes linear estimators, is developed by finding, among all linear estimators, ones which have least average total mean squared error, averaged over parameter points. Ridge, generalized ridge, restricted least squares, subset least squares, least squares, best, and generalized inverse linear estimators are all ...
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Bayes Estimates of Haplotype Effects
Genetic Epidemiology, 2001We describe a Markov chain Monte Carlo implementation of a Bayesian approach to estimating associations of a trait with a large set of haplotypes recently introduced by Clayton and Jones [Am J Hum Genet 65:1161–9, 2000]. The model uses the length of the longest segment in common between any two haplotypes to define the prior correlation structure for ...
D C, Thomas, J L, Morrison, D G, Clayton
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Some Comments on “Bayes” Estimators
The American Statistician, 1973(1973). Some Comments on “Bayes” Estimators. The American Statistician: Vol. 27, No. 1, pp. 12-14.
G. C. Tiao, G. E. P. Box
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Journal of Soviet Mathematics, 1991
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