Results 51 to 60 of about 1,642 (193)
Asymptotically optimal definite quadrature formulae of 4th order
26 pages, 4 figures, 4 ...
Ana Avdzhieva, Geno P. Nikolov
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Abstract Although full‐information maximum likelihood (FIML) estimation is widely used for diagnostic classification models (DCMs), its computational efficiency deteriorates sharply in high‐dimensional settings. This scalability challenge is increasingly critical as DCMs are applied to large‐scale assessments, psychological testing and longitudinal ...
Minho Lee, Yon Soo Suh
wiley +1 more source
Low-Complexity and Adaptive Nonlinearity Estimation Module Based on Godard's Error
A low-complexity and adaptive nonlinearity estimation module is proposed and experimentally demonstrated based on Godard's error and low-pass filter (LPF).
Lin Jiang +6 more
doaj +1 more source
On certain optimal quadrature formulas
IS any Npoint quadrature formula, and E(l(f) =/(f) -Q(f) where /(f) is the integral which Q is approximating, we shall denote by "cr(EQ)" the "RMS" average of Ell with respect to Sarma's measure. Sarma calls a formula Q.I' "completely optimal" if cr(EC1s) :s; cr(ECl ~\,) for every N·point formula Q~; and he calls it "optimal in the weights" if cr(EClN )
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Abstract Measurement non‐invariance arises when the psychometric properties of a scale differ across subgroups, undermining the validity of group comparisons. At the item level, this manifests as differential item functioning (DIF), where item responses differ across groups after controlling for the latent trait.
Gabriel Wallin, Qi Huang
wiley +1 more source
Optimal interpolation formulas in the Sobolev space of periodic functions
The problem of finding the extremal function of an interpolation formula and of evaluating the norm of the error functional in the Sobolev space was first posed by S.L.Sobolev. In that work (Sobolev, 1961 [1] ), the extremal function of the interpolation
Kholmat Shadimetov, Khurshidjon Khayatov
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Model fit and parameter uncertainty in amortized variational inference based item response theory
Abstract Amortized variational inference (AVI) has become a popular, computationally efficient alternative to marginal maximum likelihood estimation (MML) for estimating high‐dimensional item response theory models on large datasets. However, currently the AVI framework lacks methods to assess model fit and determine parameter uncertainty.
K. Veldkamp +3 more
wiley +1 more source
SDFs from Unoriented Point Clouds using Neural Variational Heat Distances
We propose a novel variational approach for computing neural Signed Distance Fields (SDF) from unoriented point clouds. We first compute a small time step of heat flow (middle) and then use its gradient directions to solve for a neural SDF (right). Abstract We propose a novel variational approach for computing neural Signed Distance Fields (SDF) from ...
Samuel Weidemaier +5 more
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This paper develops a fractional-mapped Legendre–Gauss–Radau (LGR) pseudospectral method with adaptive ph-mesh refinement for continuous-time optimal control problems.
Alvian Alif Hidayatullah +7 more
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Optimization of the Approximate Integration Formula Using the Quadrature Formula
The article explores Sard’s problem of constructing optimal quadrature formulas in the space W(4,0)2(0,1) by using Sobolev’s method. This problem involves two steps: first, calculating the norm of the error functional, and then finding the minimum of this norm by the coefficients of the quadrature formulas.
Kh.M. Shadimetov, A.K. Boltaev
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