Results 91 to 100 of about 166 (161)
Abstract Hidden Markov diagnostic classification models capture how students' cognitive attributes evolve over time. This paper introduces a Bayesian Markov chain Monte Carlo algorithm for diagnostic classification models that jointly estimates time‐varying Q matrices, latent attributes, item parameters, attribute class proportions and transition ...
Chen‐Wei Liu
wiley +1 more source
New estimation methods for diagnostic classification models
Abstract This paper introduces a new class of estimators for cognitive diagnosis models (CDMs) based on the Cressie–Read family of ϕ$$ \phi $$‐divergences. Focusing on the loglinear CDM (LCDM), for which joint maximum likelihood estimation (JMLE) has been shown to be consistent, we propose a joint minimum divergence estimation (JMDE) framework.
Elena Castilla
wiley +1 more source
New biosensors and transgenic mice for multiplex cGMP imaging
Background and Purpose Cyclic guanosine monophosphate (cGMP) is a versatile second messenger that is important for human (patho‐)physiology and pharmacotherapy. Live‐cell imaging of cGMP with biosensors allows to elucidate its spatiotemporal dynamics in real time under close‐to‐native conditions. However, to monitor two separate cGMP pools or cGMP/cAMP
Markus Wolters +6 more
wiley +1 more source
Neural Local Inter‐reflection Modeling for Garment Fold Rendering
Abstract Realistic garment rendering requires simulating complex multi‐bounce light paths within intricate fold geometries. In these regions, conventional path tracing is computationally expensive as light becomes trapped, necessitating high bounce counts for convergence.
Jooeun Son +4 more
wiley +1 more source
Orientation in operator algebras. [PDF]
Alfsen EM, Shultz FW.
europepmc +1 more source
Nonparametric Bootstrap of Sample Means of Positive-Definite Matrices with an Application to Diffusion-Tensor-Imaging Data Analysis. [PDF]
Ellingson L +4 more
europepmc +1 more source
Progressively Projected Newton's Method
Abstract Newton's Method is widely used to find the solution of complex non‐linear simulation problems. To guarantee a descent direction, it is common practice to clamp the negative eigenvalues of each element Hessian prior to assembly—a strategy known as Projected Newton (PN)—but this perturbation often hinders convergence.
J. A. Fernández‐Fernández +2 more
wiley +1 more source
Brane Effective Actions, Kappa-Symmetry and Applications. [PDF]
Simón J.
europepmc +1 more source
Register‐Efficient Linear‐Time Evaluation in the Bernstein Basis
Abstract We investigate the evaluation of points and derivatives of Bézier curves and surfaces on modern architectures, focusing on performance and guided by numerical error bounds. While the de Casteljau algorithm remains the reference for numerical robustness, its linear working‐set size imposes substantial register pressure on GPUs.
Gábor Valasek, Anna Lili Horváth
wiley +1 more source
Bialgebra cohomology, deformations, and quantum groups. [PDF]
Gerstenhaber M, Schack SD.
europepmc +1 more source

