Identification of discrete concentration graph models with one hidden binary variable
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Publication:2435228
DOI10.3150/12-BEJ435zbMath1332.62016arXiv1009.4279OpenAlexW3097982950MaRDI QIDQ2435228
Elena Stanghellini, Barbara Vantaggi
Publication date: 4 February 2014
Published in: Bernoulli (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1009.4279
identifiabilitycontingency tablesconditional independencelatent classhidden variableslatent structurefinite mixtureslog linear models
Factor analysis and principal components; correspondence analysis (62H25) Characterization and structure theory for multivariate probability distributions; copulas (62H05) Applications of graph theory (05C90) Contingency tables (62H17) Graphical methods in statistics (62A09)
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Cites Work
- Global identifiability of linear structural equation models
- Additive and multiplicative models and interactions
- Efficient estimation and local identification in latent class analysis
- Likelihood ratio tests and singularities
- Identifiability of parameters in latent structure models with many observed variables
- Latent conditional independence in two-way contingency tables: A diagnostic approach
- Miscellanea. Identification of a single-factor model using graphical Gaussian rules
- Exploratory latent structure analysis using both identifiable and unidentifiable models
- Miscellanea. On the identification of a single-factor model with correlated residuals
- Algebraic Statistics for Computational Biology
