Some Remarks on Latent Variable Models in Categorical Data Analysis
From MaRDI portal
Publication:5419325
DOI10.1080/03610926.2013.814783zbMath1462.62367OpenAlexW1999814693MaRDI QIDQ5419325
Publication date: 6 June 2014
Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/03610926.2013.814783
ordered categorical datarandom effects modelsmixture modelsRasch modellatent class modelsassociation modelslocal independence
Factor analysis and principal components; correspondence analysis (62H25) Measures of association (correlation, canonical correlation, etc.) (62H20) Linear inference, regression (62J99)
Related Items
Extending ordinal regression with a latent zero-augmented beta distribution, A Bayesian approach to the analysis of asymmetric association for two-way contingency tables, On nonparametric estimation of the latent distribution for ordinal data, Toward an Efficient Computation of Log-Likelihood Functions in Statistical Inference: Overdispersed Count Data Clustering, Unnamed Item, The likelihood ratio test in high-dimensional logistic regression is asymptotically a rescaled Chi-square
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- A family of generalized linear models for repeated measures with normal and conjugate random effects
- Examples in which misspecification of a random effects distribution reduces efficiency, and possible remedies
- Factor analysis of dichotomized variables
- Contributions to factor analysis of dichotomous variables
- On estimation of parameters in latent structure analysis
- Prediction of Random Effects in Linear and Generalized Linear Models under Model Misspecification
- Latent Variable Models and Factor Analysis
- On some similarities between canonical correlation models and latent class models for two-way contingency tables
- A penalized latent class model for ordinal data
- A Semiparametric Transition Model with Latent Traits for Longitudinal Multistate Data
- Latent Variable Modelling: A Survey*
- Regression, Discrimination and Measurement Models for Ordered Categorical Variables
- Singular value decomposition of probability matrices: Probabilistic aspects of latent dichotomous variables
- Variance component testing in generalised linear models with random effects
- A Correlated Probit Model for Joint Modeling of Clustered Binary and Continuous Responses
- A General Maximum Likelihood Analysis of Variance Components in Generalized Linear Models
- Exploratory latent structure analysis using both identifiable and unidentifiable models
- Latent variable models for mixed categorical and survival responses, with an application to fertility preferences and family planning in Bangladesh
- Random effect models for repeated measures of zero-inflated count data
