Bayesian Block-Diagonal Predictive Classifier for Gaussian Data

DOI10.1007/978-3-642-33042-1_58zbMath1336.62176OpenAlexW1513916779MaRDI QIDQ2805821

Timo Koski, Tatjana Pavlenko, Annika Tillander, Jukka Corander

Publication date: 13 May 2016

Published in: Synergies of Soft Computing and Statistics for Intelligent Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-3-642-33042-1_58

zbMATH Keywords

discriminant analysishigh-dimensional datahyperparameterscovariance estimators

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30)

Related Items (3)

Simultaneous predictive Gaussian classifiers ⋮ Graphical posterior predictive classification: Bayesian model averaging with particle Gibbs ⋮ Supervised classifiers for high-dimensional higher-order data with locally doubly exchangeable covariance structure

Cites Work

• Statistics for high-dimensional data. Methods, theory and applications.
• Hyper Markov laws in the statistical analysis of decomposable graphical models
• Covariance structure approximation via gLasso in high-dimensional supervised classification
• Some matrix-variate distribution theory: Notational considerations and a Bayesian application
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