To show you one of the main consequences of hierarchical models, I will require your assistance, so please join me in a brief experiment. I will need you to print and save the summary using az.summary(trace_h). Then, I want you to re-run the model two more times after making small changes to the synthetic data, and always keep a record of the summary. In total, we will have three runs:
- One run setting all the elements of G_samples to 18
- One run setting all the elements of G_samples to 3
- One last run setting one element to 18 and the other two to 3
Before continuing, please take a moment to think about the outcome of this experiment. Focus on the estimated mean value of in each experiment. Based on the first two runs of the ...
