11
Presentation of Results
Exploratory Analysis of Bayesian Models
source
issues
1
Elements of Visualization
2
Working with DataTree
3
Random Variables, Distributions, and Uncertainty
4
MCMC Diagnostics
5
Prior and Posterior predictive checks
6
Prior and likelihood sensitivity checks
7
Model Comparison
8
Model Comparison (case study)
9
Variable Selection
10
Prior Elicitation
11
Presentation of Results
12
Bayesian Workflow
References
11
Presentation of Results
Summarizing results
Monte Carlo Standard error and accuracy
10
Prior Elicitation
12
Bayesian Workflow