Scalable importance sampling estimation of Gaussian mixture posteriors in Bayesian networks

DOI10.1016/j.ijar.2018.06.004zbMath1453.62310OpenAlexW2807754335MaRDI QIDQ1783942

Helge Langseth, Antonio Salmerón, Anders L. Madsen, Darío Ramos-López, Thomas D. Nielsen, Rafael Rumí, Andrés R. Masegosa

Publication date: 21 September 2018

Published in: International Journal of Approximate Reasoning (Search for Journal in Brave)

Full work available at URL: http://hdl.handle.net/11250/2596038

zbMATH Keywords

Bayesian networksimportance samplingGaussian mixturesscalable inferenceconditional linear Gaussian models

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Gaussian processes (60G15) Sampling theory, sample surveys (62D05)

Related Items (1)

Comments on: ``Hybrid semiparametric Bayesian networks

Uses Software

• AIS-BN
• PMTK
• AMIDST

Cites Work

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