Singlet-like correlations: equal peak work, unequal robustness. [PDF]
Svozil K.
europepmc +1 more source
On variational inequalities for monotone operators, I
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Approximating multidimensionality with asymmetric unidimensional IRT models
Abstract Unidimensional item response theory (IRT) models are widely used even in settings where assessment data exhibit subtle forms of multidimensionality. Recent empirical evidence suggests that when item difficulty is associated with dimensionality, asymmetric item characteristic curves (ICCs) emerge in the unidimensional approximation.
Xiangyi Liao +5 more
wiley +1 more source
Beyond national fertility rates: unmasking territorial differences in adolescent pregnancy in Ecuador. [PDF]
Izurieta-Guevara M +5 more
europepmc +1 more source
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
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Non-linear RR interval metrics in canine atrial fibrillation and their relationship to 24-h mean heart rate. [PDF]
Gunasekaran T, Sanders RA, Olivier NB.
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Regularized reduced rank regression for mixed predictor and response variables
Abstract In this paper, we introduce the Generalized Mixed Regularized Reduced Rank Regression model (GMR4), an extension of the GMR3 model designed to improve performance in high‐dimensional settings. GMR3 is a regression method for a mix of numeric, binary and ordinal response variables, while also allowing for mixed‐type predictors through optimal ...
Lorenza Cotugno +2 more
wiley +1 more source
Convergence Analysis of Controlled Particle Systems Arising in Deep Learning: From Finite to Infinite Sample Size. [PDF]
Liao H, Mészáros AR, Mou C, Zhou C.
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Computing Skinning Weights via Convex Duality
We present an alternate optimization method to compute bounded biharmonic skinning weights. Our method relies on a dual formulation, which can be optimized with a nonnegative linear least squares setup. Abstract We study the problem of optimising for skinning weights through the lens of convex duality.
J. Solomon, O. Stein
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Anisotropy-Based Robust Performance Criteria for Linear Continuous Time Invariant Systems with Statistically Uncertain Noise. [PDF]
Vladimirov IG.
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