Discrete mixtures in Bayesian networks with hidden variables: a latent time budget example

DOI10.1016/S0167-9473(02)00167-6zbMath1429.62094OpenAlexW2060781416MaRDI QIDQ951822

B. E. Eshmatov

Publication date: 4 November 2008

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/s0167-9473(02)00167-6

zbMATH Keywords

reduced rank modelslatent budget models

Mathematics Subject Classification ID

Bayesian inference (62F15) Theory of languages and software systems (knowledge-based systems, expert systems, etc.) for artificial intelligence (68T35) Contingency tables (62H17)

Uses Software

• DASSOC

Cites Work

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• The EM algorithm for graphical association models with missing data
• When are item response models consistent with observed data?
• Geometry, moments and conditional independence trees with hidden variables.
• Bayesian networks for discrete multivariate data: An algebraic approach to inference
• Computation of Maximum Likelihood Estimates in Association Models
• A Tutorial on Learning with Bayesian Networks
• Canonical Analysis of Contingency Tables by Maximum Likelihood
• Latent class analysis of two-way contingency tables by Bayesian methods
• A latent time–budget model

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