Identifiability and convergence issues for Markov chain Monte Carlo fitting of spatial models

Keyphrases

• Markov Chain Monte Carlo 100%
• Spatial Modeling 100%
• Posterior Distribution 100%
• Convergence Issues 100%
• Prior Distribution 66%
• Bayesian Methods 33%
• Model Fitting 33%
• Convergence Rate 33%
• Spatial Clustering 33%
• Markov Chain Monte Carlo Methods 33%
• Markov Chain Monte Carlo Algorithm 33%
• Random Effects 33%
• Computing Power 33%
• Starting Values 33%
• Statistical Practice 33%
• Algorithm Tuning 33%
• Parameter Interpretability 33%
• Simultaneous Development 33%
• Informative Content 33%
• Bayesian Learning 33%

Mathematics

• Markov Chain Monte Carlo 100%
• Identifiability 100%
• Posterior Distribution 100%
• Bayesian 66%
• Covariate 33%
• Model Fit 33%
• Markov Chain Monte Carlo Method 33%
• Monte Carlo Algorithm 33%
• Convergence Rate 33%
• Random Effect 33%
• Interpretability 33%
• Starting Value 33%

Psychology

• Markov Chain Monte Carlo 100%
• Monte Carlo Markov Chain Method 33%