A Bayesian approach towards missing covariate data in multilevel latent regression models

Cites Work

Unnamed Item
Unnamed Item
Unnamed Item
Unnamed Item
A Bayesian analysis of the multinomial probit model using marginal data augmentation
Efficient high-dimensional importance sampling
A Bayesian approach to model-based clustering for binary panel probit models
Analysing exponential random graph (p-star) models with missing data using Bayesian data augmentation
A Markov chain Monte Carlo approach to confirmatory item factor analysis
Bayesian item response modeling. Theory and applications.
On structural equation modeling with data that are not missing completely at random
Simultaneous factor analysis of dichotomous variables in several groups
A generalized Rasch model for manifest predictors
The incidental parameter problem since 1948
Recursive partitioning for missing data imputation in the presence of interaction effects
Rank-normalization, folding, and localization: an improved \(\widehat{R}\) for assessing convergence of MCMC (with Discussion)
Bayesian estimation of a multilevel IRT model using Gibbs sampling
An application of confidence intervals and of maximum likelihood to the estimation of an examinee's ability
Indicator and Stratification Methods for Missing Explanatory Variables in Multiple Linear Regression
Marginal Likelihood from the Gibbs Output
The behaviour of the maximum likelihood estimator of limited dependent variable models in the presence of fixed effects
The Calculation of Posterior Distributions by Data Augmentation
A Structural Probit Model with Latent Variables
A statistical model for the analysis of ordinal level dependent variables
Sequential Imputations and Bayesian Missing Data Problems
Multiple Imputation and Posterior Simulation for Multivariate Missing Data in Longitudinal Studies
The Spike-and-Slab LASSO
Marginal Likelihood From the Metropolis–Hastings Output
Exact Bayesian inference via data augmentation
Bayesian estimation and model comparison for linear dynamic panel models with missing values

This page was built for publication: A Bayesian approach towards missing covariate data in multilevel latent regression models