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Hi, when IES is run with ies_enforce_bounds(true), any values sampled beyond the bounds get changed to that value. This can be problematic if a starting parameter value is too close to a bound relative to the assigned standard deviation, as the resultant histogram gets a very large spike at the bound. I try to minimise this through careful standard deviation selection, but can a setting be added to resample parameters until they lie within the bounds? Is it mathematically reasonable?
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Hi, when IES is run with ies_enforce_bounds(true), any values sampled beyond the bounds get changed to that value. This can be problematic if a starting parameter value is too close to a bound relative to the assigned standard deviation, as the resultant histogram gets a very large spike at the bound. I try to minimise this through careful standard deviation selection, but can a setting be added to resample parameters until they lie within the bounds? Is it mathematically reasonable?
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