A Bayesian Nonparametric Learning Approach to Ensemble Models Using the Proper Bayesian Bootstrap

A Bayesian Nonparametric Learning Approach to Ensemble Models Using the Proper Bayesian Bootstrap

Bootstrap resampling techniques, introduced by Efron and Rubin, can be presented in a general Bayesian framework, approximating the statistical distribution of a statistical functional <inline-formula><math display="inline"><semantics><mrow><mi>ϕ</mi><...

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Bibliographic Details
Main Authors: Marta Galvani, Chiara Bardelli, Silvia Figini, Pietro Muliere
Format: Article
Language:English
Published: MDPI AG 2021-01-01
Series:Algorithms
Subjects:
bootstrap
Bayesian nonparametric learning
ensemble models
Online Access:https://www.mdpi.com/1999-4893/14/1/11

Internet

https://www.mdpi.com/1999-4893/14/1/11

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