Ways and means with scenarios
Jitka Dupačová
What the paper says
We shall survey and classify various ways of approximation of the true probability distribution by a discrete distribution concentrated in a finite number of atoms, called scenarios, which occur with preassigned probabilities. Resistance of the numerical results with respect to the choice of scenarios and/or of their probabilities and also the relation between results obtained for the selected scenarios and those valid for the true underlying distribution are of a great practical interest. We shall discuss various approaches to output analysis in the framework of an expectation type stochastic program, bearing in mind the diverse origin of scenarios.
1 citation
Evidence weight
Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40
| F · citation impact | 0.15 × 0.4 = 0.06 |
| M · momentum | 0.20 × 0.15 = 0.03 |
| V · venue signal | 0.50 × 0.05 = 0.03 |
| R · text relevance † | 0.50 × 0.4 = 0.20 |
† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.