A variational maximization-maximization algorithm for generalized linear mixed models with crossed random effects
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Publication:1682443
DOI10.1007/s11336-017-9555-zzbMath1402.62043OpenAlexW2591708767WikidataQ46220922 ScholiaQ46220922MaRDI QIDQ1682443
Frank Rijmen, Sophia Rabe-Hesketh, Minjeong Jeon
Publication date: 30 November 2017
Published in: Psychometrika (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s11336-017-9555-z
EM algorithmlower boundKullback-Leibler divergenceadaptive quadraturevariational approximationGLMMcrossed random effectsVMM algorithm
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Cites Work
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- Maximum likelihood estimation of limited and discrete dependent variable models with nested random effects
- Fitting an item response theory model with random item effects across groups by a variational approximation method
- Asymptotic normality of maximum likelihood and its variational approximation for stochastic blockmodels
- Mean field variational Bayes for continuous sparse signal shrinkage: pitfalls and remedies
- Alternating imputation posterior estimation of models with crossed random effects
- Grid based variational approximations
- A two-tier full-information item factor analysis model with applications
- Asymptotic normality and valid inference for Gaussian variational approximation
- Accuracy of Laplace approximation for discrete response mixed models
- Bootstrap methods: another look at the jackknife
- Mean field variational Bayesian inference for nonparametric regression with measurement error
- Mean field variational Bayesian inference for support vector machine classification
- Variational inferences for partially linear additive models with variable selection
- Variational approximations for categorical causal modeling with latent variables
- Generalized multilevel structural equation modeling
- CFA models with a general factor and multiple sets of secondary factors
- Bayesian estimation of a multilevel IRT model using Gibbs sampling
- Sensitivity analysis in Bayesian generalized linear mixed models for binary data
- Mean field variational Bayes for elaborate distributions
- Explaining Variational Approximations
- Accurate Approximations for Posterior Moments and Marginal Densities
- Multilevel covariance component models
- Newton-Raphson and EM Algorithms for Linear Mixed-Effects Models for Repeated-Measures Data
- Maximizing Generalized Linear Mixed Model Likelihoods With an Automated Monte Carlo EM Algorithm
- Laplace's approximation for nonlinear mixed models
- Maximum Likelihood Algorithms for Generalized Linear Mixed Models
- Approximate Inference in Generalized Linear Mixed Models
- Bayesian Inference in Econometric Models Using Monte Carlo Integration
- On the Assessment of Monte Carlo Error in Simulation-Based Statistical Analyses
- On Information and Sufficiency
- Graphical models
- A comparison of Bayesian and likelihood-based methods for fitting multilevel models
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