Regression Markov chains
In the previous exercise, you ran 4 parallel Markov chains of length 1,000 to approximate the posterior model of regression parameters \(a\), \(b\), and \(s\). Your output was similar to that below:
Though it requires too much computing power to run here, the results of a new RJAGS simulation run for 100,000 iterations is in your workspace. This mcmc.list object is stored as weight_sim_big
. Construct and examine a plot()
of the Markov chains in weight_sim_big
. Which of the following best describes the comparison of these with the original simulation results?
This exercise is part of the course
Bayesian Modeling with RJAGS
Hands-on interactive exercise
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