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Scenarios for multistage stochastic programs

Research output: Contribution to Journal/MagazineJournal articlepeer-review

<mark>Journal publication date</mark>12/2000
<mark>Journal</mark>Annals of Operations Research
Issue number1-4
Number of pages29
Pages (from-to)25-53
Publication StatusPublished
<mark>Original language</mark>English


A major issue in any application of multistage stochastic programming is the representation of the underlying random data process. We discuss the case when enough data paths can be generated according to an accepted parametric or nonparametric stochastic model. No assumptions on convexity with respect to the random parameters are required. We emphasize the notion of representative scenarios (or a representative scenario tree) relative to the problem being modeled.