Estimating exogenous variables in data with more variables than observations

DOI10.1016/j.neunet.2011.05.017zbMath1250.68230OpenAlexW2127480275WikidataQ33947690 ScholiaQ33947690MaRDI QIDQ456016

Teppei Shimamura, Yasuhiro Sogawa, Shohei Shimizu, Takashi Washio, Seiya Imoto, Aapo Hyvärinen

Publication date: 23 October 2012

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

Full work available at URL: https://doi.org/10.1016/j.neunet.2011.05.017

zbMATH Keywords

Bayesian networksindependent component analysisnon-gaussianitydata with more variables than observations

Mathematics Subject Classification ID

Factor analysis and principal components; correspondence analysis (62H25) Learning and adaptive systems in artificial intelligence (68T05)

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Uses Software

• FastICA
• TETRAD

Cites Work

• Causation, prediction, and search
• Adaptive blind separation of independent sources: A deflation approach
• Testing Statistical Hypotheses
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