Populations
The UncertainScalarPopulation type allows representation of an uncertain scalar represented by a population of values who will be sampled according to a vector of explicitly provided probabilities. Think of it as an explicit kernel density estimate.
Documentation¶
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UncertainData.UncertainValues.UncertainScalarPopulation — Type.
1 | UncertainScalarPopulation
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An uncertain value represented by a population for which the probabilities of the values are dictated by a set of weights. The weights are normalized by default.
Examples
The two following ways of constructing populations are equivalent.
1 2 3 | values = rand(1:50, 100) weights = rand(100) population = UncertainValue(values, weights) |
1 2 3 | values = rand(1:50, 100) weights = rand(100) population = UncertainScalarPopulation(values, weights) |