Networks of predictions
In: Futures: the journal of policy, planning and futures studies, Volume 36, Issue 10, p. 1095-1102
ISSN: 0016-3287
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In: Futures: the journal of policy, planning and futures studies, Volume 36, Issue 10, p. 1095-1102
ISSN: 0016-3287
In: International journal of forecasting, Volume 6, Issue 4, p. 557-558
ISSN: 0169-2070
In: Inquiry: an interdisciplinary journal of philosophy and the social sciences, Volume 25, Issue 3, p. 361-364
ISSN: 1502-3923
In: American anthropologist: AA, Volume 44, Issue 3, p. 337-344
ISSN: 1548-1433
SSRN
In: Statistical papers, Volume 64, Issue 4, p. 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.
SSRN
Working paper
In: Army logistician: the official magazine of United States Army logistics, Volume 39, Issue 1, p. 34-38
ISSN: 0004-2528
In: The Economic Journal, Volume 78, Issue 310, p. 423
In: Defence Technology, Volume 12, Issue 6, p. 446-463
ISSN: 2214-9147
In: Economica, Volume 34, Issue 135, p. 337
In: World Scientific series in economic theory 3
SSRN
Working paper
In: American political science review, Volume 70, Issue 2, p. 509-535
ISSN: 0003-0554
PROCEDURES FOR EMPIRICAL TESTS OF POLITICAL THEORY SHOULD BE DESIGNED TO EVALUATE THE SUCCESS OF THE SPECIFIC PREDICTION BEING TESTED. THIS PAPAER INTRODUCES(1) A FORMAL LANGUAGE, "PREDICTION LOGIC"; (2)A POPULATION MEASURE, (3) PARTIAL MEASURES FOR THE MULTIVARIATE CASE; (4)BIVARIATE STATISTICAL INFERENCE MEASURES WHEN THE DATA ARISE FROM A SAMPLE RATHER THAN A POPULATION.
In: The American journal of sociology, Volume 48, Issue 1, p. 61-76
ISSN: 1537-5390