In addition to the generic sampling constraints, you may impose sequential sampling constraints when resampling an uncertain dataset.
Is a particular constraint applicable?
Not all sequential sampling constraints may be applicable to your dataset. Use these functions to check whether a particular constraint is possible to apply to your dataset.
Syntax
Sequential constraint only
A dataset may be sampling imposing a sequential sampling constraint, but leaving the furnishing distributions untouched otherwise.
Missing docstring for resample(udata::AbstractUncertainValueDataset, sequential_constraint::SequentialSamplingConstraint; quantiles = [0.0001, 0.9999]). Check Documenter's build log for details.
Regular constraint(s) + sequential constraint
Another option is to first impose constraints on the furnishing distributions, then applying the sequential sampling constraint.
Missing docstring for resample(udata::AbstractUncertainValueDataset, constraint::Union{SamplingConstraint, Vector{SamplingConstraint}}, sequential_constraint::SequentialSamplingConstraint; quantiles = [0.0001, 0.9999]). Check Documenter's build log for details.
List of sequential resampling schemes
- StrictlyIncreasing sequences.
- StrictlyDecreasing sequences.