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Nonparametric Bayesian Interval Estimation
Biometrika, 1979SUMMARY Bayesian confidence bands for a distribution function are converted into confidence intervals for specified population quantiles and also for the mean. Bayesian tolerance limits are similarly constructed.
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2010
Bayesian nonparametrics works - theoretically, computationally. The theory provides highly flexible models whose complexity grows appropriately with the amount of data. Computational issues, though challenging, are no longer intractable. All that is needed is an entry point: this intelligent book is the perfect guide to what can seem a forbidding ...
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Bayesian nonparametrics works - theoretically, computationally. The theory provides highly flexible models whose complexity grows appropriately with the amount of data. Computational issues, though challenging, are no longer intractable. All that is needed is an entry point: this intelligent book is the perfect guide to what can seem a forbidding ...
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Bayesian Robustness and Bayesian Nonparametrics
2000Bayesian robustness studies the sensitivity of Bayesian answers to user inputs, especially to the specification of the prior. Nonparametric Bayesian models, on the other hand, refrain from specifying a specific prior functional form P, but instead assume a second-level hyperprior on P with support on a suitable space of probability measures ...
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A Digital Twin Approach Based on Nonparametric Bayesian Network for Complex System Health Monitoring
Journal of Manufacturing Systems, 2021Diyin Tang, Jinsong Yu, Yue Song
exaly
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022
Wentao Fan, Nizar Bouguila, Yang Lin
exaly
Wentao Fan, Nizar Bouguila, Yang Lin
exaly
Nonparametric Bayesian Deep Visualization
2023Haruya Ishizuka, Daichi Mochihashi
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Nonparametric Applications of Bayesian Inference
Journal of Business and Economic Statistics, 2003Gary Chamberlain, Guido W Imbens
exaly

