Dynamic Latent Trait Models for Multidimensional Longitudinal Data

By David B. Dunson. 2003

145 citations recorded by the source corpus.

Subfields: Information Systems

View Paper: https://www.semanticscholar.org/paper/98f41ba2aa4573440188d4087b35a62587647cf5

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In Information Systems

1. Lijuan Lijuan Wang
2. Zhiyong Zhang
3. Kevin J. Grimm
4. J. Nesselroade
5. Fumiaki Hamagami
6. Lawrence Carin

Citations in the corpus

• Bayesian analysis of longitudinal data using growth curve models (2007, methodology): “Besides the capability for implementing estimation procedures, which generally cannot be done in MLE, the ease, flexibility, and computation time were also very acceptable (Arminger & Muthen, 1998; Dunson, 2003; McArdle & Wang, in press).”
• Bayesian Structural Equation Modeling (2007, background): “Potentially, one can also define separate generalized linear models for each of the observed variables in the measurement model (as in Sammel, Ryan, Legler, 1997; Moustaki and Knott, 2000; Dunson, 2000; 2003) to allow a broader class of measurement models.”
• Beta-Negative Binomial Process and Poisson Factor Analysis (2011, background): “There has been some work on exponential family latent factor models that incorporate Gaussian latent variables (Dunson, 2000, 2003; Moustaki and Knott, 2000; Sammel et al., 1997), but computation tends to be prohibitive in high-dimensional settings and the Gaussian assumption is restrictive for…”