Results 161 to 170 of about 9,395,905 (186)

Flow-Based Surrogates for High-Dimensional Likelihoods in Experimental Neutrino Physics

Baz ME, Giannessi L, Blanchet A, Sánchez F.   +3 more
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Estimation of structural parameter in the presence of a large number of nuisance parameters

Estimation of structural parameter in the presence of a large number of nuisance parameters
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Optimization Problems with Large Parameters

SIAM Journal on Applied Mathematics, 1973
The asymptotic behavior of the solution to a constrained minimization problem, when one or more coefficients of linear parts of the objective function becomes infinite, is studied. It is shown that, under certain circumstances the asymptotic behavior is calculable by solving another extremum problem with additional constraints.
Bigelow, J. H., Shapiro, N. Z.
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Large-angle light scattering at large size parameters

Applied Optics, 1992
The generalized eikonal amplitude for light scattering at large size parameters by a dielectric sphere is modified to account more rigorously for the phase-change difference caused by the presence of the medium. The resulting amplitude is shown to work well for scattering at large angles.
T W, Chen, W S, Smith
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Accurate relaxation parameters for large proteins

Journal of Magnetic Resonance, 2004
The practical applicability, performance, and robustness of three-way decomposition (TWD) for the extraction of relaxation parameters are demonstrated for a large protein with 370 residues, the maltose binding protein. An ordinary set of seven relaxation-modulated (15)N HSQC spectra, recorded at another site, is systematically analyzed.
Aleksandras, Gutmanas, Luan, Tu, Vladislav Yu, Orekhov, Martin, Billeter   +3 more
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Parameter plane analysis for large scale systems

Guidance and Control Conference, 1980
The parameter-plane analysis technique recently has been extended to enable the analyst to portray stability regions for large-scale systems. In this paper the previous restriction on order of the system to be analyzed has been relaxed by implicitly assuming a model of the system.
Seltzer, Sherman M., Asner, Bernard A. jun., Jackson, Robert L.   +2 more
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Multiple Comparisons for a Large Number of Parameters

Biometrical Journal, 2001
Summary: When there are many parameters of interest (finitely large or infinite), standard multiple comparison procedures for a finite number of parameters (called discrete-domain approaches) may lead to a simultaneous confidence region (SCR) too conservative to be useful.
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