Bayesian Comparison of Latent Variable Models: Conditional Versus Marginal Likelihoods

blavaan: Bayesian Structural Equation Models via Parameter Expansion

(2018) Edgar C. Merkle et al.   Journal of Statistical Software

Conditional vs marginal estimation of the predictive loss of hierarchical models using WAIC and cross-validation

(2017) Russell B. Millar   STATISTICS AND COMPUTING

Integrated likelihood computation methods

(2016) Zhenyu Zhao et al.   COMPUTATIONAL STATISTICS

runjags: AnRPackage Providing Interface Utilities, Model Templates, Parallel Computing Methods and Additional Distributions for MCMC Models inJAGS

(2016) Matthew J. Denwood   Journal of Statistical Software

Comparison of Bayesian predictive methods for model selection

(2016) Juho Piironen et al.   STATISTICS AND COMPUTING

Practical Bayesian model evaluation using leave-one-out cross-validation and WAIC

(2016) Aki Vehtari et al.   STATISTICS AND COMPUTING

Approximating cross-validatory predictive evaluation in Bayesian latent variable models with integrated IS and WAIC

(2015) Longhai Li et al.   STATISTICS AND COMPUTING

lavaan: AnRPackage for Structural Equation Modeling

(2015) Yves Rosseel   Journal of Statistical Software

Understanding predictive information criteria for Bayesian models

(2013) Andrew Gelman et al.   STATISTICS AND COMPUTING

A weakly informative default prior distribution for logistic and other regression models

(2009) Andrew Gelman et al.   Annals of Applied Statistics

Comparison of Hierarchical Bayesian Models for Overdispersed Count Data using DIC and Bayes' Factors

(2009) Russell B. Millar   BIOMETRICS

Penalized loss functions for Bayesian model comparison

(2008) Martyn Plummer   BIOSTATISTICS

Random Item IRT Models

(2008) Paul De Boeck   PSYCHOMETRIKA