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Example 27
Bayesian Estimation with a Non-Informative (Diffuse) Prior
Does a Bayesian analysis with a diffuse prior distribution yield results similar to those
of the maximum likelihood solution? To find out, we will do a Bayesian analysis of the
same model. First, we will show how to increase the number of burn-in observations.
This is just to show you how to do it. Nothing suggests that the default of 500 burn-in
observations needs to be changed.
Changing the Number of Burn-In Observations
To change the number of burn-in observations to 1,000:
E From the menus, choose View > Options.
E In the Options dialog box, select the MCMC tab.
E Change Number of burn-in observations to 1000.
E Click Close and allow MCMC sampling to proceed until the unhappy face turns
happy .