Prevention without Prediction
In: Holocaust and genocide studies, Band 7, Heft 1, S. 1-13
ISSN: 1476-7937
22972 Ergebnisse
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In: Holocaust and genocide studies, Band 7, Heft 1, S. 1-13
ISSN: 1476-7937
In: International journal of forecasting, Band 4, Heft 2, S. 292-294
ISSN: 0169-2070
In: Adoption & fostering: quarterly journal, Band 11, Heft 1, S. 11-17
ISSN: 1740-469X
In: Soviet studies, Band 21, Heft 2, S. 164-192
In: Contact: the interdisciplinary journal of pastoral studies, Band 22, Heft 1, S. 3-6
In: Problems of economics, Band 8, Heft 8, S. 3-11
In: Studies in social psychology in World War II 4
In: Synthese: an international journal for epistemology, methodology and philosophy of science, Band 194, Heft 2, S. 491-509
ISSN: 1573-0964
In: Futures, Band 36, Heft 10, S. 1095-1102
In: International journal of forecasting, Band 6, Heft 4, S. 557-558
ISSN: 0169-2070
In: Inquiry: an interdisciplinary journal of philosophy and the social sciences, Band 25, Heft 3, S. 361-364
ISSN: 1502-3923
In: American anthropologist: AA, Band 44, Heft 3, S. 337-344
ISSN: 1548-1433
In: Statistical papers, Band 64, Heft 4, S. 1233-1249
ISSN: 1613-9798
AbstractIn numerical analysis, sparse grids are point configurations used in stochastic finite element approximation, numerical integration and interpolation. This paper is concerned with the construction of polynomial interpolator models in sparse grids. Our proposal stems from the fact that a sparse grid is an echelon design with a hierarchical structure that identifies a single model. We then formulate the model and show that it can be written using inclusion–exclusion formulæ. At this point, we deploy efficient methodologies from the algebraic literature that can simplify considerably the computations. The methodology uses Betti numbers to reduce the number of terms in the inclusion–exclusion while achieving the same result as with exhaustive formulæ.