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Use the prior_bounds for the initialization of the MCMC walker values

Evan Goetz requested to merge evan-goetz/pydarm:prior-limits into master

This implements the use of prior_bounds on the initial MCMC walkers. This should have been implemented before because if a priors bound was given, then the initial walker states should also derive from the same bounds.

Here we initialize the 1-sigma values as (<max>-<min>)/sqrt(12), used for initializing the Gaussian distribution of the walkers in their initial state for those parameters (gains and cavity pole frequency). The other parameters are initialized with uniform distributions.

Edited by Evan Goetz

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