Remarks on kernel Bayes’ rule

The kernel Bayes’ rule has been proposed as a nonparametric kernel-based method to realize Bayesian inference in reproducing kernel Hilbert spaces. However, we demonstrate both theoretically and experimentally that the way of incorporating the prior in the kernel Bayes’ rule is unnatural. In particu...

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Bibliographic Details
Main Authors: Hisashi Johno, Kazunori Nakamoto, Tatsuhiko Saigo
Format: Article
Language:English
Published: Taylor & Francis Group 2018-01-01
Series:Cogent Mathematics & Statistics
Subjects:
Online Access:http://dx.doi.org/10.1080/23311835.2018.1447220