Identifying Latent Structures in Restricted Latent Class Models
Author:
Affiliation:
1. Department of Statistics, University of Michigan, Ann Arbor, MI
2. School of Statistics, University of Minnesota, Minneapolis, MN
Funder
Institute of Education Sciences
National Science Foundation
Publisher
Informa UK Limited
Subject
Statistics, Probability and Uncertainty,Statistics and Probability
Link
https://www.tandfonline.com/doi/pdf/10.1080/01621459.2017.1340889
Reference48 articles.
1. Identifiability of parameters in latent structure models with many observed variables
2. Parameter identifiability in a class of random graph mixture models
3. Sequential Pattern Analysis of Learning Logs: Methodology and Applications
4. Extended Bayesian information criteria for model selection with large model spaces
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