Pages that link to "Item:Q2499093"

The following pages link to Measures of Bayesian learning and identifiability in hierarchical models (Q2499093):

Displaying 10 items.

• Identification of the 1PL model with guessing parameter: parametric and semi-parametric results (Q358516) (← links)
• Point estimates for variance-structure parameters in Bayesian analysis of hierarchical models (Q1023586) (← links)
• Agent-based inference for animal movement and selection (Q2260188) (← links)
• Identification of the variance components in the general two-variance linear model (Q2480015) (← links)
• Flexible link functions in nonparametric binary regression with Gaussian process priors (Q2827177) (← links)
• The Performance of Random Coefficient Regression in Accounting for Residual Confounding (Q3436521) (← links)
• The Importance and Challenges of Bayesian Parameter Learning in Systems Biology (Q4928947) (← links)
• Sensitivity and identification quantification by a relative latent model complexity perturbation in Bayesian meta‐analysis (Q6068286) (← links)
• Multilevel linear models, Gibbs samplers and multigrid decompositions (with discussion) (Q6117932) (← links)
• Quantification of empirical determinacy: The impact of likelihood weighting on posterior location and spread in Bayesian meta-analysis estimated with JAGS and INLA (Q6650951) (← links)