Have I seen you before? Principles of Bayesian predictive classification revisited

DOI10.1007/s11222-011-9291-7zbMath1322.62164OpenAlexW2032758171MaRDI QIDQ746252

Yaqiong Cui, Timo Koski, Jukka Corander, Jukka Siren

Publication date: 16 October 2015

Published in: Statistics and Computing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11222-011-9291-7

zbMATH Keywords

classificationexchangeabilityinductive learningpredictive inference

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Bayesian inference (62F15) Exchangeability for stochastic processes (60G09)

Related Items

Simultaneous predictive Gaussian classifiers, Bayesian clustering of DNA sequences using Markov chains and a stochastic partition model, Marginal and simultaneous predictive classification using stratified graphical models, Graphical posterior predictive classification: Bayesian model averaging with particle Gibbs

Uses Software

• spatial
• PRMLT

Cites Work

• Bayesian unsupervised classification framework based on stochastic partitions of data and a parallel search strategy
• W. E. Johnson's sufficientness postulate
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• Approximating discrete probability distributions with dependence trees
• A formal theory of inductive inference. Part I
• Probabilistic Symmetries and Invariance Principles
• Splitting and merging components of a nonconjugate Dirichlet process mixture model
• Statistical Inference for Spatial Processes
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