Temporal state change Bayesian networks for modeling of evolving multivariate state sequences: model, structure discovery and parameter estimation

DOI10.1007/S10618-021-00807-YOpenAlexW3209356021MaRDI QIDQ832658

Florian Gyrock, Artur Mrowca, Stephan Günnemann

Publication date: 25 March 2022

Published in: Data Mining and Knowledge Discovery (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10618-021-00807-y

zbMATH Keywords

latent variable modelsprobabilistic processesmultivariate state sequencestemporal Bayesian networks

Mathematics Subject Classification ID

Point estimation (62F10) Bayesian inference (62F15) Probabilistic graphical models (62H22)

Uses Software

• TETRAD
• CTBN-RLE
• VIBES

Cites Work

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• Bayesian Reasoning and Machine Learning

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