Recursive learning for sparse Markov models

DOI10.1214/15-BA949zbMath1359.62269MaRDI QIDQ516456

Jie Xiong, Väinö Jääskinen, Jukka Corander

Publication date: 14 March 2017

Published in: Bayesian Analysis (Search for Journal in Brave)

Full work available at URL: https://projecteuclid.org/euclid.ba/1429105670

zbMATH Keywords

clusteringsequence analysisDelaunay triangulationrecursive learningsparse Markov chains

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Bayesian inference (62F15) Markov processes: estimation; hidden Markov models (62M05)

Related Items (3)

Detecting renewal states in chains of variable length via intrinsic Bayes factors ⋮ Fitting sparse Markov models through a collapsed Gibbs sampler ⋮ Distributions of pattern statistics in sparse Markov models

Cites Work

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• Hidden Markov partition models
• Automatic clustering and boundary detection algorithm based on adaptive influence function
• Variable length Markov chains
• A universal data compression system
• Two algorithms for constructing a Delaunay triangulation
• Hidden Markov models for bioinformatics
• Modal clustering in a class of product partition models

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