Computation of maximum likelihood estimates for multiresponse generalized linear mixed models with non-nested, correlated random effects
DOI10.1016/j.csda.2013.11.019zbMath1506.62093arXiv1403.7676OpenAlexW2076079619MaRDI QIDQ82357
Yan Yang, Sharon L. Lohr, Andrew T. Karl, Yan Yang, Sharon L. Lohr
Publication date: May 2014
Published in: Computational Statistics & Data Analysis, Computational Statistics and Data Analysis (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1403.7676
EM algorithmsparse matrixmultivariatejoint modelfully exponential Laplace approximationmultiple membership
Computational methods for problems pertaining to statistics (62-08) Point estimation (62F10) Generalized linear models (logistic models) (62J12)
Related Items (2)
Uses Software
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Efficient maximum likelihood estimation of multiple membership linear mixed models, with an application to educational value-added assessments
- Random-Effects Models for Longitudinal Data
- Workload forecasting for a call center: methodology and a case study
- Accuracy of Laplace approximation for discrete response mixed models
- On the convergence properties of the EM algorithm
- Methods for approximating integrals in statistics with special emphasis on Bayesian integration problems
- Hands-on tutorial for parallel computing with R
- Mixed Models
- Fully Exponential Laplace Approximations for the Joint Modelling of Survival and Longitudinal Data
- Estimation and Comparison of Changes in the Presence of Informative Right Censoring by Modeling the Censoring Process
- The EM Algorithm and Extensions, 2E
- Accurate Approximations for Posterior Moments and Marginal Densities
- Newton-Raphson and EM Algorithms for Linear Mixed-Effects Models for Repeated-Measures Data
- A note on the use of Laplace's approximation for nonlinear mixed-effects models
- Maximum Likelihood Variance Components Estimation for Binary Data
- A Modified EM Algorithm for Estimation in Generalized Mixed Models
- Bias Correction in Generalized Linear Mixed Models With Multiple Components of Dispersion
- Another Look at the Salamander Mating Data: A Modified Laplace Approximation Approach
- Approximate Inference in Generalized Linear Mixed Models
- Fully Exponential Laplace Approximations to Expectations and Variances of Nonpositive Functions
- Bias correction in generalised linear mixed models with a single component of dispersion
- Generalized linear mixed models a pseudo-likelihood approach
- Handbook of Multilevel Analysis
- Pairwise Fitting of Mixed Models for the Joint Modeling of Multivariate Longitudinal Profiles
This page was built for publication: Computation of maximum likelihood estimates for multiresponse generalized linear mixed models with non-nested, correlated random effects
