Latent variable models for multivariate dyadic data with zero inflation: analysis of intergenerational exchanges of family support

DOI10.1214/22-aoas1680arXiv2104.11531OpenAlexW3159429990WikidataQ128935246 ScholiaQ128935246MaRDI QIDQ6104138

Fiona Steele, Siliang Zhang, Jouni Kuha

Publication date: 5 June 2023

Published in: The Annals of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/2104.11531

zbMATH Keywords

mixture modelstwo-step estimationlatent class analysisitem response theory modelsnonequivalence of measurement

Mathematics Subject Classification ID

Applications of statistics (62Pxx)

Cites Work

• Unnamed Item
• Estimation of Relationships for Limited Dependent Variables
• A dyadic IRT model
• Two-step estimation of models between latent classes and external variables
• Handbook of Item Response Theory
• Latent Variable Models and Factor Analysis
• Combining Complete Multivariate Outcomes with Incomplete Covariate Information: A Latent Class Approach
• Zero-Inflated Poisson Regression, with an Application to Defects in Manufacturing
• Adaptive Rejection Sampling for Gibbs Sampling
• Some Statistical Models for Limited Dependent Variables with Application to the Demand for Durable Goods
• Random effect models for repeated measures of zero-inflated count data

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