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A spectral method for identifiable grade of membership analysis with binary responses
Grade of membership (GoM) models are popular individual-level mixture models for
multivariate categorical data. GoM allows each subject to have mixed memberships in …
multivariate categorical data. GoM allows each subject to have mixed memberships in …
A comparison of mixed and partial membership diagnostic classification models with multidimensional item response models
A Robitzsch - Information, 2024 - mdpi.com
Diagnostic classification models (DCM) are latent structure models with discrete multivariate
latent variables. Recently, extensions of DCMs to mixed membership have been proposed …
latent variables. Recently, extensions of DCMs to mixed membership have been proposed …
Finding mixed memberships in categorical data
H Qing - Information Sciences, 2024 - Elsevier
Latent class analysis, a fundamental problem in categorical data analysis, often encounters
overlap** latent classes that introduce further challenges. This paper presents a solution …
overlap** latent classes that introduce further challenges. This paper presents a solution …
Generalized grade-of-membership estimation for high-dimensional locally dependent data
This work focuses on the mixed membership models for multivariate categorical data widely
used for analyzing survey responses and population genetics data. These grade of …
used for analyzing survey responses and population genetics data. These grade of …
Joint mixed membership modeling of multivariate longitudinal and survival data for learning the individualized disease progression
Joint mixed membership modeling of multivariate longitudinal and survival data for learning
the individualized disease progressi Page 1 The Annals of Applied Statistics 2024, Vol. 18 …
the individualized disease progressi Page 1 The Annals of Applied Statistics 2024, Vol. 18 …
A Blockwise Mixed Membership Model for Multivariate Longitudinal Data: Discovering Clinical Heterogeneity and Identifying Parkinson's Disease Subtypes
Current diagnosis and prognosis for Parkinson's disease (PD) face formidable challenges
due to the heterogeneous nature of the disease course, including that (i) the impairment …
due to the heterogeneous nature of the disease course, including that (i) the impairment …
Biclustering of Log Data: Insights from a Computer-Based Complex Problem Solving Assessment
Computer-based assessments provide the opportunity to collect a new source of behavioral
data related to the problem-solving process, known as log file data. To understand the …
data related to the problem-solving process, known as log file data. To understand the …
Tree-informed Bayesian multi-source domain adaptation: cross-population probabilistic cause-of-death assignment using verbal autopsy
Determining causes of deaths (CODs) occurred outside of civil registration and vital statistics
systems is challenging. A technique called verbal autopsy (VA) is widely adopted to gather …
systems is challenging. A technique called verbal autopsy (VA) is widely adopted to gather …
Bayesian finite mixtures of ising models
We introduce finite mixtures of Ising models as a novel approach to study multivariate
patterns of associations of binary variables. Our proposed models combine the strengths of …
patterns of associations of binary variables. Our proposed models combine the strengths of …
Grade of membership analysis for multi-layer categorical data
H Qing - arxiv preprint arxiv:2408.09418, 2024 - arxiv.org
Consider a group of individuals (subjects) participating in the same psychological tests with
numerous questions (items) at different times. The observed responses can be recorded in …
numerous questions (items) at different times. The observed responses can be recorded in …