DOI10.1201/9781420011340zbMath1110.62092OpenAlexW4205493629MaRDI QIDQ5480298
Yudi Pawitan, John A. Nelder, Youngjo Lee
Publication date: 28 July 2006
Full work available at URL: https://doi.org/10.1201/9781420011340
Wallet Game: Probability, Likelihood, and Extended Likelihood,
Unnamed Item,
Resolving the ambiguity of random‐effects models with singular precision matrix,
Standard error estimates in hierarchical generalized linear models,
H‐likelihood Predictive Intervals for Unobservables,
Random Effects Misspecification Can Have Severe Consequences for Random Effects Inference in Linear Mixed Models,
Influence of red and yellow cards on team performance in elite soccer,
Diagnostics for a two-stage joint survival model,
On variable selection in joint modeling of mean and dispersion,
Unnamed Item,
Diagnostic tools for a multivariate negative binomial model for fitting correlated data with overdispersion,
A Marginalized Combined Gamma Frailty and Normal Random-effects Model for Repeated, Overdispersed, Time-to-event Outcomes,
A MIXTURE MODEL FOR PAYMENTS AND PAYMENT NUMBERS IN CLAIMS RESERVING,
Linear and Generalized Linear Models and their Applications by J. JIANG,
Linear and Generalized Linear Models and their Applications by J. JIANG,
Maximum likelihood estimation of nonlinear mixed-effects models with crossed random effects by combining first-order conditional linearization and sequential quadratic programming,
The Use of Working Variables in the Bayesian Modeling of Mean and Dispersion Parameters in Generalized Nonlinear Models with Random Effects,
Prediction of tumour pathological subtype from genomic profile using sparse logistic regression with random effects,
Pairwise influences in dynamic choice: network-based model and application,
Limited information estimation in binary factor analysis: a review and extension,
Joint hierarchical generalized linear models with multivariate Gaussian random effects,
A flexible semiparametric regression model for bimodal, asymmetric and censored data,
A new semiparametric Weibull cure rate model: fitting different behaviors within GAMLSS,
Robust inference using hierarchical likelihood approach for heavy-tailed longitudinal outcomes with missing data: an alternative to inverse probability weighted generalized estimating equations,
Approximate inference for spatial functional data on massively parallel processors,
Detection of outliers in longitudinal count data via overdispersion,
The exponentiated power exponential semiparametric regression model,
Empirical likelihood method for longitudinal data generated from unequally-spaced Lèvy processes,
On the goodness-of-fit tests for gamma generalized linear models,
A review on recent advances and applications of h-likelihood method,
Extended likelihood approach to multiple testing with directional error control under a hidden Markov random field model,
Estimating nonlinear effects in the presence of cure fraction using a semi-parametric regression model,
A random model for the scale parameter in the Fréchet populations,
Efficient two-dimensional smoothing with \(P\)-spline ANOVA mixed models and nested bases,
Smoothing Parameter Selection for a Class of Semiparametric Linear Models,
The use of random-effect models for high-dimensional variable selection problems,
Bayesian analysis of nonnegative data using dependency-extended two-part models,
Choice of link and variance function for generalized linear mixed models: a case study with binomial response in proteomics,
Robust replicated heteroscedastic measurement error model using heavy-tailed distribution,
Aspects of likelihood inference,
On the existence of maximum likelihood estimators in Poisson-gamma HGLM and negative binomial regression model,
On the foundations of parameter estimation for generalized partial linear models with B-splines and continuous optimization,
Extended \(t\)-process regression models,
Optimal blocked minimum-support designs for non-linear models,
Random-effect models with singular precision,
Corrected Estimators in Extended Quasi-Likelihood Models,
Prediction of transplant-free survival in idiopathic pulmonary fibrosis patients using joint models for event times and mixed multivariate longitudinal data,
Modeling accounting year dependence in runoff triangles,
Hierarchical likelihood approach to non-Gaussian factor analysis,
Effect of misspecification of random effects distribution on the performance of parameters estimation methods in binary logistic mixed models,
Multivariate time series modeling, estimation and prediction of mortalities,
Conditional Akaike information criterion for generalized linear mixed models,
Approximate bounded influence estimation for longitudinal data with outliers and measurement errors,
Robust joint modeling of mean and dispersion through trimming,
A family of generalized linear models for repeated measures with normal and conjugate random effects,
Hierarchical likelihood methods for nonlinear and generalized linear mixed models with missing data and measurement errors in covariates,
Multivariate random effect models with complete and incomplete data,
Likelihood inference for models with unobservables: another view,
Decoding the h-likelihood,
Rejoinder: ``Likelihood inference for models with unobservables: another view, Observational nonidentifiability, generalized likelihood and free energy, A combined beta and normal random-effects model for repeated, overdispersed binary and binomial data, Discrepancy in regression estimates between log-normal and gamma: some case studies, Modelling skewness and kurtosis with the BCPE density in GAMLSS, Alternating imputation posterior estimation of models with crossed random effects, The hierarchical-likelihood approach to autoregressive stochastic volatility models, Claims reserving in the hierarchical generalized linear model framework, Inference in HIV dynamics models via hierarchical likelihood, Robust first-order rotatable lifetime improvement experimental designs, Approximate conditional inference in mixed-effects models with binary data, Semiparametric modeling of autonomous nonlinear dynamical systems with application to plant growth, A Bayesian approach to analyse overdispersed longitudinal count data, A nested expectation-maximization algorithm for latent class models with covariates, Correlated random effects regression analysis for a log-normally distributed variable, Prediction error for credible claims reserves: an \(h\)-likelihood approach, Hierarchical likelihood approach for the Weibull frailty model, Pairwise- and marginal-likelihood estimation for the mixed Rasch model with binary data, Optimal expectile smoothing, Small area estimation with spatial similarity, Joint Inference on HIV Viral Dynamics and Immune Suppression in Presence of Measurement Errors, Modifications of REML algorithm for HGLMs, Analyzing Binomial Data in a Split-Plot Design: Classical Approach or Modern Techniques?, Variable selection in joint mean and dispersion models via double penalized likelihood, Maximum likelihood estimation of regression parameters with spatially dependent discrete data, Parameter estimation and inference in the linear mixed model, Statistical models: conventional, penalized and hierarchical likelihood, Nonparametric inference procedure for percentiles of the random effects distribution in meta-analysis, Generalized fiducial inference for normal linear mixed models, New approaches for censored longitudinal data in joint modelling of longitudinal and survival data, with application to HIV vaccine studies, Latent Variable Modelling: A Survey*, Fast Bayesian inference using Laplace approximations in nonparametric double additive location-scale models with right- and interval-censored data, Prediction interval for disease mapping using hierarchical likelihood, Hierarchical models with normal and conjugate random effects : a review, On weighting of bivariate margins in pairwise likelihood, Multiple imputation for multilevel data with continuous and binary variables, New prediction method for the mixed logistic model applied in a marketing problem, Functional data analysis in an operator-based mixed-model framework, A Reinforced Randomized Block Design with Correlated Errors, Likelihood Prediction for Generalized Linear Mixed Models under Covariate Uncertainty, 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, Meta-analysis of diagnostic studies based upon SROC-curves: a mixed model approach using the Lehmann family, Modelling random effect variance with double hierarchical generalized linear models, A model for overdispersed hierarchical ordinal data, Variable selection in joint modelling of the mean and variance for hierarchical data, CALENDAR YEAR EFFECT MODELING FOR CLAIMS RESERVING IN HGLM, A Robust Variable Selection tot-type Joint Generalized Linear Models via Penalizedt-type Pseudo-likelihood, Accuracy of Laplace approximation for discrete response mixed models, A semiparametric nonlinear mixed-effects model with non-ignorable missing data and measurement errors for HIV viral data, An approximate method for generalized linear and nonlinear mixed effects models with a mechanistic nonlinear covariate measurement error model, A longitudinal study of children's aggressive behaviours based on multivariate mixed models with incomplete data, The sufficiency of the evidence, the relevancy of the evidence, and quantifying both with a single number, Modelling and forecasting mortality improvement rates with random effects, Analysis of longitudinal and survival data: joint modeling, inference methods, and issues, Application of H-likelihood to factor analysis models with binary response data, Linear variance, P-splines and neighbour differences for spatial adjustment in field trials: how are they related?, Multivariate Bayesian logistic regression for analysis of clinical study safety issues
