Cargando…
Longitudinal Modeling of Age-Dependent Latent Traits with Generalized Additive Latent and Mixed Models
We present generalized additive latent and mixed models (GALAMMs) for analysis of clustered data with responses and latent variables depending smoothly on observed variables. A scalable maximum likelihood estimation algorithm is proposed, utilizing the Laplace approximation, sparse matrix computatio...
Autores principales: | Sørensen, Øystein, Fjell, Anders M., Walhovd, Kristine B. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer US
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10188428/ https://www.ncbi.nlm.nih.gov/pubmed/36976415 http://dx.doi.org/10.1007/s11336-023-09910-z |
Ejemplares similares
-
Asymptotic Posterior Normality of Multivariate Latent Traits in an IRT Model
por: Kornely, Mia J. K., et al.
Publicado: (2022) -
The Role of Conditional Likelihoods in Latent Variable Modeling
por: Skrondal, Anders, et al.
Publicado: (2022) -
A Note on Likelihood Ratio Tests for Models with Latent Variables
por: Chen, Yunxiao, et al.
Publicado: (2020) -
Latent Class Models for Diary Method Data: Parameter Estimation by Local Computations
por: Rijmen, Frank, et al.
Publicado: (2007) -
Graphical Model Selection for Gaussian Conditional Random Fields in the Presence of Latent Variables
por: Frot, Benjamin, et al.
Publicado: (2018)