6 papers
Goodness-of-Fit Tests for Latent Class Models with Ordinal Categorical Data
Huan Qing
Ordinal categorical data are widely collected in psychology, education, and other social sciences, appearing commonly in questionnaires, assessments, and surveys. Latent class mode…
How many asymmetric communities are there in multi-layer directed networks?
Huan Qing
Estimating the asymmetric numbers of communities in multi-layer directed networks is a challenging problem due to the multi-layer structures and inherent directional asymmetry, lea…
Joint estimation of asymmetric community numbers in directed networks
Huan Qing
Community detection in directed networks is a central task in network analysis. Unlike undirected networks, directed networks encode inherently asymmetric relationships, giving ris…
Goodness-of-fit test for multi-layer stochastic block models
Huan Qing
Community detection in multi-layer networks is a fundamental task in complex network analysis across various areas like social, biological, and computer sciences. However, most exi…
Latent class analysis for multi-layer categorical data
Huan Qing
Traditional categorical data, often collected in psychological tests and educational assessments, are typically single-layer and gathered only once.This paper considers a more gene…
Grade of membership analysis for multi-layer ordinal categorical data
Huan Qing
Consider a group of individuals (subjects) participating in the same psychological tests with numerous questions (items) at different times, where the choices of each item have an…