Accuracy of loopy belief propagation in Gaussian models

DOI10.1016/J.NEUNET.2009.01.003zbMath1403.62102OpenAlexW2056215320WikidataQ47615071 ScholiaQ47615071MaRDI QIDQ280330

Sumio Watanabe, Yu Nishiyama

Publication date: 10 May 2016

Published in: Neural Networks (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.neunet.2009.01.003

zbMATH Keywords

posterior varianceloopy belief propagationGaussian graphical modelsingle cycletopological graphs

Mathematics Subject Classification ID

Estimation in multivariate analysis (62H12) Applications of graph theory (05C90) Graph theory (including graph drawing) in computer science (68R10)

Cites Work

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• Singularities in mixture models and upper bounds of stochastic complexity.
• Correctness of Belief Propagation in Gaussian Graphical Models of Arbitrary Topology
• Information Geometry of Turbo and Low-Density Parity-Check Codes
• Statistical-mechanical approach to image processing
• Good error-correcting codes based on very sparse matrices
• Embedded Trees: Estimation of Gaussian Processes on Graphs with Cycles
• A CDMA multiuser detection algorithm on the basis of belief propagation

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