UncertainData.jl
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Multiple (nested) sampling constraints
It should be possible to apply multiple sampling constraints to an uncertain value. A possible way of doing this is to just provide a vector of sampling constraints and apply them consecutively.
One example:
- constrain the support of the distribution to some quantile range
- then, if the support still allows values above some specified value, constrain the support further by applying a maximum value constraint.