Multivariate generalized linear mixed models with semi-nonparametric and smooth nonparametric random effects densities
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Publication:746181
DOI10.1007/s11222-010-9207-yzbMath1322.62196OpenAlexW2082314943MaRDI QIDQ746181
Georgios Papageorgiou, J. P. Hinde
Publication date: 16 October 2015
Published in: Statistics and Computing (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s11222-010-9207-y
longitudinal datarandom effectsmixed modelsmultinomial responsessemi-nonparametric densitiessmooth nonparametric densities
Estimation in multivariate analysis (62H12) Nonparametric estimation (62G05) Generalized linear models (logistic models) (62J12)
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Uses Software
Cites Work
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- Linear Mixed Models with Flexible Distributions of Random Effects for Longitudinal Data
- Semi-Nonparametric Maximum Likelihood Estimation
- Random effects in ordinal regression models
- The geometry of mixture likelihoods, part II: The exponential family
- Examples in which misspecification of a random effects distribution reduces efficiency, and possible remedies
- A family of tests to detect misspecifications in the random-effects structure of generalized linear mixed models
- Consistency and asymptotic normality of the maximum likelihood estimator in generalized linear models
- Flexible smoothing with \(B\)-splines and penalties. With comments and a rejoinder by the authors
- Misspecified maximum likelihood estimates and generalised linear mixed models
- An algorithm for generating chi random variables
- A Linear Mixed-Effects Model With Heterogeneity in the Random-Effects Population
- Smooth Random Effects Distribution in a Linear Mixed Model
- Optimal Rates of Convergence for Deconvolving a Density
- An Algorithm for Computing the Nonparametric MLE of a Mixing Distribution
- Nonparametric Maximum Likelihood Estimation of a Mixing Distribution
- Maximizing Generalized Linear Mixed Model Likelihoods With an Automated Monte Carlo EM Algorithm
- The nonlinear mixed effects model with a smooth random effects density
- A Smooth Nonparametric Estimate of a Mixing Distribution Using Mixtures of Gaussians
- Maximum Likelihood Algorithms for Generalized Linear Mixed Models
- A General Maximum Likelihood Analysis of Variance Components in Generalized Linear Models
- Approximate Inference in Generalized Linear Mixed Models
- A Monte Carlo EM algorithm for generalized linear mixed models with flexible random effects distribution
- Multivariate statistical modelling based on generalized linear models.
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