Pages that link to "Item:Q4292162"

The following pages link to Maximum Likelihood Variance Components Estimation for Binary Data (Q4292162):

Displaying 50 items.

• Computation of maximum likelihood estimates for multiresponse generalized linear mixed models with non-nested, correlated random effects (Q82357) (← links)
• Efficient maximum likelihood estimation of multiple membership linear mixed models, with an application to educational value-added assessments (Q82511) (← links)
• Generalized linear mixed models for correlated binary data with \(t\)-link (Q261007) (← links)
• Measuring technical and allocative inefficiency in the translog cost system: a Bayesian approach (Q262768) (← links)
• Efficient direct sampling MCEM algorithm for latent variable models with binary responses (Q425378) (← links)
• A combined beta and normal random-effects model for repeated, overdispersed binary and binomial data (Q444960) (← links)
• Alternating imputation posterior estimation of models with crossed random effects (Q452521) (← links)
• Finite mixtures of quantile and M-quantile regression models (Q518274) (← links)
• The Monte Carlo EM method for estimating multinomial probit latent variable models (Q626207) (← links)
• A family of generalized linear models for repeated measures with normal and conjugate random effects (Q906532) (← links)
• Generalized linear random effects models with varying coefficients (Q951901) (← links)
• A pairwise likelihood approach to estimation in multilevel probit models (Q956809) (← links)
• Generalized semiparametrically structured mixed models (Q956981) (← links)
• Hierarchical models for repeated binary data using the IBF sampler (Q959226) (← links)
• Maximum likelihood estimation for simplex distribution nonlinear mixed models via the stochastic approximation algorithm (Q1011107) (← links)
• Estimation of the mean squared error of predictors of small area linear parameters under a logistic mixed model (Q1019898) (← links)
• Computational techniques for spatial logistic regression with large data sets (Q1019998) (← links)
• Overdispersion: Models and estimation. (Q1129247) (← links)
• Monte Carlo EM with importance reweighting and its applications in random effects models. (Q1285507) (← links)
• Conditional inference about generalized linear mixed models (Q1583897) (← links)
• A Monte Carlo EM method for estimating multinomial probit models. (Q1589453) (← links)
• Unequal sampling for Monte Carlo EM algorithms. (Q1603895) (← links)
• Maximum likelihood estimation of factor and ideal point models for paired comparison data (Q1604277) (← links)
• Sequential Monte Carlo EM for multivariate probit models (Q1623415) (← links)
• Parameter estimation via stochastic variants of the ECM algorithm with applications to plant growth modeling (Q1623627) (← links)
• Estimating a graphical intra-class correlation coefficient (GICC) using multivariate probit-linear mixed models (Q1663261) (← links)
• On the simulation size and the convergence of the Monte Carlo EM algorithm via likelihood-based distances (Q1771289) (← links)
• The subset argument and consistency of MLE in GLMM: answer to an open problem and beyond (Q1952447) (← links)
• Estimation and prediction of a generalized mixed-effects model with \(t\)-process for longitudinal correlated binary data (Q2032235) (← links)
• Semiparametric multinomial mixed-effects models: a university students profiling tool (Q2170415) (← links)
• Maximum likelihood estimation of multinomial probit factor analysis models for multivariate \(t\)-distribution (Q2259075) (← links)
• A resource selection model for analyzing pseudoreplicated data due to grouping behavior of animals (Q2259930) (← links)
• REML estimation for binary data in GLMMs (Q2372134) (← links)
• Joint analysis of mixed Poisson and continuous longitudinal data with nonignorable missing values (Q2445586) (← links)
• Fisher scoring: an interpolation family and its Monte Carlo implementations (Q2445629) (← links)
• Functional approach of flexibly modelling generalized longitudinal data and survival time (Q2474384) (← links)
• Mixed model prediction and small area estimation. (With comments of P. Hall, D. Morales, C. N. Morris, J. N. K. Rao, and J. L. Eltinge) (Q2474776) (← links)
• Monte Carlo approximation through Gibbs output in generalized linear mixed models (Q2485993) (← links)
• Laplace approximation in measurement error models (Q3003005) (← links)
• Markov and Semi-Markov Switching Linear Mixed Models Used to Identify Forest Tree Growth Components (Q3064263) (← links)
• On Estimation and Prediction for Spatial Generalized Linear Mixed Models (Q3078912) (← links)
• The Monte Carlo EM method for estimating multivariate tobit latent variable models (Q3401364) (← links)
• Properties and comparison of estimation methods in a log-linear generalized linear mixed model (Q3497814) (← links)
• Sampling Bias and Logistic Models (Q3631466) (← links)
• Laplace Importance Sampling for Generalized Linear Mixed Models (Q4262907) (← links)
• An Approximate EM Algorithm for Maximum Likelihood Estimation in Generalized Linear Mixed Models (Q4416333) (← links)
• Local influence for generalized linear mixed models (Q4470645) (← links)
• Hierarchical models with normal and conjugate random effects : a review (Q4606111) (← links)
• Random Effects in Censored Ordinal Regression: Latent Structure and Bayesian Approach (Q4667452) (← links)
• Publication Bias and Meta-Analysis for 2×2 Tables: An Average Markov Chain Monte Carlo EM Algorithm (Q4670768) (← links)