The problem is that, if I set an upper and lower limit for the search range of the parameter, for example:
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10<=Temperature<=50
Two solutions that I can think of, but I am not sure how valid they are:
- To not set a limit for my search parameters. Unfortunately, that makes convergence extremely hard since the algorithm spends a lot of time in low likelihood regions (even after using quite informative priors) and comes up with some bizarre parameter sets.
- Artificially remove from the posterior sample, vectors that have at least one of their parameters with a value equal to the limits set. I am not sure how valid this is from the standpoint of maintaining the properties of the sample. I've tried doing that, and the histograms immediately took a lovely bell shape (not sure how useful is that, though)
Thanks