Bayesian optimization of generalized data

Bayesian optimization of generalized data

Direct application of Bayes' theorem to generalized data yields a posterior probability distribution function (PDF) that is a product of a prior PDF of generalized data and a likelihood function, where generalized data consists of model parameters, measured data, and model defect data. The prio...

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Bibliographic Details
Main Authors: Arbanas Goran, Feng Jinghua, Clifton Zia J., Holcomb Andrew M., Pigni Marco T., Wiarda Dorothea, Chapman Christopher W., Sobes Vladimir, Liu Li Emily, Danon Yaron
Format: Article
Language:English
Published: EDP Sciences 2018-01-01
Series:EPJ Nuclear Sciences & Technologies
Online Access:https://doi.org/10.1051/epjn/2018038

Internet

https://doi.org/10.1051/epjn/2018038

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