Poisson dependency networks: gradient boosted models for multivariate count data

DOI10.1007/s10994-015-5506-zzbMath1388.62218OpenAlexW1197916086MaRDI QIDQ747270

Kristian Kersting, Alejandro Molina, Fabian Hadiji, Sriraam Natarajan

Publication date: 23 October 2015

Published in: Machine Learning (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10994-015-5506-z

zbMATH Keywords

learningPoisson distributiongraphical modelsMAP inferencedependency networksmultivariate count data

Mathematics Subject Classification ID

Estimation in multivariate analysis (62H12) Generalized linear models (logistic models) (62J12) Graphical methods in statistics (62A09)

Related Items

Unnamed Item, Sparse estimation of multivariate Poisson log‐normal models from count data, Unnamed Item

Uses Software

• Paramils
• rpart
• gbm
• BMSS
• BLOG

Cites Work

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