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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 …
Deep Discrete Encoders: Identifiable Deep Generative Models for Rich Data with Discrete Latent Layers
In the era of generative AI, deep generative models (DGMs) with latent representations have
gained tremendous popularity. Despite their impressive empirical performance, the …
gained tremendous popularity. Despite their impressive empirical performance, the …
Inferring latent structure in ecological communities via barcodes
B Scherting, DB Dunson - arxiv preprint arxiv:2412.08793, 2024 - arxiv.org
Accelerating global biodiversity loss has highlighted the role of complex relationships and
shared patterns among species in mediating responses to environmental changes. The …
shared patterns among species in mediating responses to environmental changes. The …
[PDF][PDF] Exploratory General-response Cognitive Diagnostic Models with Higher-order Structures
Abstract Cognitive Diagnostic Models (CDMs) are popular discrete latent variable models in
educational and psychological measurement. While existing CDMs mainly focus on binary …
educational and psychological measurement. While existing CDMs mainly focus on binary …
[PDF][PDF] Bayesian Q Matrix Estimation of Saturated Diagnostic Classification Models Using NIMBLE
CW Liu - osf.io
Diagnostic classification models (DCMs) constitute a subset of restricted latent class models
in which latent classes are constrained by an expert-specified Q matrix reflecting students' …
in which latent classes are constrained by an expert-specified Q matrix reflecting students' …
[PDF][PDF] Inferring Individual Attributes Using Testlet-Based Visual Analogue Scaling and Beta Copula Diagnostic Classification Models
CW Liu - osf.io
This paper explores the inference of the latent attributes of respondents using testlet-based
visual analogue scaling (VAS), which comprises multiple items ranging from 0% to 100 …
visual analogue scaling (VAS), which comprises multiple items ranging from 0% to 100 …