Variable assessment in latent class models
From MaRDI portal
Publication:1623587
DOI10.1016/j.csda.2014.02.017zbMath1506.62206OpenAlexW1966411778WikidataQ40231427 ScholiaQ40231427MaRDI QIDQ1623587
Publication date: 23 November 2018
Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)
Full work available at URL: http://europepmc.org/articles/pmc4043346
total variationKolmogorov distancevariable selectioncross entropylatent class analysismixed data typeposterior gradient
Related Items (2)
Hybrid Hard-Soft Screening for High-dimensional Latent Class Analysis ⋮ Variable selection methods for model-based clustering
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Latent class analysis variable selection
- Latent class models for mixed variables with applications in archaeometry
- Generalized latent trait models
- A mixture of generalized latent variable models for mixed mode and heterogeneous data
- Longitudinal profiling of health care units based on continuous and discrete patient outcomes
- Regression and ANOVA with Zero-One Data: Measures of Residual Variation
- Dynamic Latent Trait Models for Multidimensional Longitudinal Data
- Latent Variable Models with Mixed Continuous and Polytomous Data
- An Iterative Regularization Method for Total Variation-Based Image Restoration
- Image Processing and Analysis
- Variable Selection for Model-Based Clustering
This page was built for publication: Variable assessment in latent class models