AUTOMATIC RELEVANCE DETERMINATION IN NONNEGATIVE MATRIX FACTORIZATION BASED ON A ZERO-INFLATED COMPOUND POISSON-GAMMA DISTRIBUTION

DOI10.5183/jjscs.1608001_233zbMath1384.62184OpenAlexW2750216450MaRDI QIDQ4606377

Hiroyasu Abe, Hiroshi Yadoshita

Publication date: 7 March 2018

Published in: Journal of the Japanese Society of Computational Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.5183/jjscs.1608001_233

zbMATH Keywords

EM algorithmcount datamodel order selectionTweedie distribution

Mathematics Subject Classification ID

Applications of statistics to economics (62P20) Factor analysis and principal components; correspondence analysis (62H25) Generalized linear models (logistic models) (62J12)

Uses Software

• LBFGS-B
• PRMLT

Cites Work

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• Bi-cross-validation of the SVD and the nonnegative matrix factorization
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• Algorithms and applications for approximate nonnegative matrix factorization
• A non-negative matrix factorization model based on the zero-inflated Tweedie distribution
• Algorithms for Nonnegative Matrix Factorization with the β-Divergence
• Zero-Inflated Poisson Regression, with an Application to Defects in Manufacturing
• Robust and efficient estimation by minimising a density power divergence
• A Limited Memory Algorithm for Bound Constrained Optimization
• Learning the parts of objects by non-negative matrix factorization
• On Information and Sufficiency

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