Marginal and simultaneous predictive classification using stratified graphical models

DOI10.1007/s11634-015-0199-5zbMath1414.62262arXiv1401.8078OpenAlexW2071482939MaRDI QIDQ2418271

Johan Pensar, Jie Xiong, Jukka Corander, Henrik Nyman

Publication date: 3 June 2019

Published in: Advances in Data Analysis and Classification. ADAC (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1401.8078

zbMATH Keywords

classificationpredictive inferencegraphical modelcontext-specific independence

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Bayesian inference (62F15)

Related Items

Context-specific independence in graphical log-linear models ⋮ Graphical posterior predictive classification: Bayesian model averaging with particle Gibbs

Uses Software

• spatial
• ElemStatLearn
• PRMLT

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Have I seen you before? Principles of Bayesian predictive classification revisited
• Stratified graphical models -- context-specific independence in graphical models
• Innovations in Bayesian networks. Theory and applications
• A Bayesian method for the induction of probabilistic networks from data
• Hyper Markov laws in the statistical analysis of decomposable graphical models
• Bayesian network classifiers
• TAN classifiers based on decomposable distributions
• Algorithmic graph theory and perfect graphs
• Optimal Viterbi Bayesian predictive classification for data from finite alphabets
• Inductive Inference and Partition Exchangeability in Classification
• Statistical Inference for Spatial Processes