12
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
Simulation-based calibration checking
12
Presentation of Results
13
Bayesian Workflow
References
12
Presentation of Results
Summarizing results
Monte Carlo Standard error and accuracy
11
Simulation-based calibration checking
13
Bayesian Workflow