Double Hierarchical Generalized Linear Models (With Discussion)

From MaRDI portal
Publication:5757822

DOI10.1111/j.1467-9876.2006.00538.xzbMath1490.62198OpenAlexW2073626204MaRDI QIDQ5757822

John A. Nelder, Youngjo Lee

Publication date: 7 September 2007

Published in: Journal of the Royal Statistical Society Series C: Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1111/j.1467-9876.2006.00538.x



Related Items

Limited information estimation in binary factor analysis: a review and extension, Multilevel multinomial logit regression model with random effects: application to flash EuroBarometer euro survey data, A general robust t-process regression model, A review on recent advances and applications of h-likelihood method, Density regression based on proportional hazards family, A new sparse variable selection via random-effect model, Approximate Bayesian Inference for Latent Gaussian models by using Integrated Nested Laplace Approximations, The use of random-effect models for high-dimensional variable selection problems, Sparse pathway-based prediction models for high-throughput molecular data, A random-effect model approach for group variable selection, Fitting double hierarchical models with the integrated nested Laplace approximation, Extended \(t\)-process regression models, Random-effect models with singular precision, Standard error estimates in hierarchical generalized linear models, Hierarchical likelihood approach to non-Gaussian factor analysis, Heterogeneous heterogeneity by default: Testing categorical moderators in mixed‐effects meta‐analysis, Conditional Akaike information criterion for generalized linear mixed models, Hierarchical likelihood methods for nonlinear and generalized linear mixed models with missing data and measurement errors in covariates, Likelihood inference for models with unobservables: another view, A penalized h-likelihood variable selection algorithm for generalized linear regression models with random effects, Smooth estimation of mean and dispersion function in extended generalized additive models with application to Italian induced abortion data, A non-iterative sampling Bayesian method for linear mixed models with normal independent distributions, The hierarchical-likelihood approach to autoregressive stochastic volatility models, Additive multilevel item structure models with random residuals: item modeling for explanation and item generation, A fast wavelet approach for recovering damaged images, Bayesian Hierarchical Models With Conjugate Full-Conditional Distributions for Dependent Data From the Natural Exponential Family, Bayesian credibility under a bivariate prior on the frequency and the severity of claims, Computationally efficient multivariate spatio-temporal models for high-dimensional count-valued data (with discussion), A general hazard model for lifetime data in the presence of cure rate, Double generalized linear model for tissue culture proportion data: a Bayesian perspective, A framework for modelling overdispersed count data, including the Poisson-shifted generalized inverse Gaussian distribution, Estimation in the probit normal model for binary outcomes using the SAEM algorithm, Modifications of REML algorithm for HGLMs, Variable selection in joint mean and dispersion models via double penalized likelihood, Kriging a soil variable with a simple nonstationary variance model, Simultaneous variable selection for heteroscedastic regression models, On Hinde-Demétrio regression models for overdispersed count data, Hierarchical Bayesian modeling of random and residual variance-covariance matrices in bivariate mixed effects models, Sampling Bias and Logistic Models, Robust frailty modelling using non-proportional hazards models, Discussion: A comparison of GAMLSS with quantile regression, GLM-methods for volatility models, Modelling random effect variance with double hierarchical generalized linear models, Variable selection in joint modelling of the mean and variance for hierarchical data, Quasi-Monte Carlo estimation in generalized linear mixed models, Hierarchical-likelihood approach for nonlinear mixed-effects models, Book review of: B. T. West et al., Linear mixed models. A practical guide using statistical software, Composite Likelihood Estimation for Multivariate Probit Latent Traits Models, The reliability factor: modeling individual reliability with multiple items from a single assessment, Generalized Additive Models for Location, Scale and Shape, Generalized linear mixed models for correlated binary data with \(t\)-link


Uses Software


Cites Work