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Nonparametric Bayesian Interval Estimation

Biometrika, 1979
SUMMARY 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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Bayesian Nonparametrics

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 Robustness and Bayesian Nonparametrics

2000
Bayesian 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, 2021
Diyin Tang, Jinsong Yu, Yue Song
exaly  

Unsupervised Grouped Axial Data Modeling via Hierarchical Bayesian Nonparametric Models With Watson Distributions

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022
Wentao Fan, Nizar Bouguila, Yang Lin
exaly  

Nonparametric Bayesian Deep Visualization

2023
Haruya Ishizuka, Daichi Mochihashi
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Bayesian Nonparametrics

Journal of the American Statistical Association, 2004
openaire   +3 more sources

Nonparametric Applications of Bayesian Inference

Journal of Business and Economic Statistics, 2003
Gary Chamberlain, Guido W Imbens
exaly  

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