Results 231 to 240 of about 19,138 (302)

Fully‐Constrained Variable Projection for Water‐Fat Models

open access: yesMagnetic Resonance in Medicine, Volume 96, Issue 3, Page 1464-1473, September 2026.
ABSTRACT Purpose Variable projection (VARPRO) is an effective technique to reduce the dimensionality of least squares optimization problems through the elimination of linear parameters. For water‐fat models, constrained VARPRO variants have been proposed in the literature to ensure that water and fat components are aligned at TE = 0, thereby preventing
Carl Ganter   +4 more
wiley   +1 more source

Accurate and Efficient Data‐Driven Partitioned Scheme for Coupled Heterogeneous Numerical Models

open access: yesNumerical Methods for Partial Differential Equations, Volume 42, Issue 5, September 2026.
ABSTRACT Heterogeneous numerical models (HNMs) combine conventional discretization modules such as finite elements with nonconventional data‐driven and reduced‐order modules. HNMs can improve computational efficiency and enable simulations of multi‐physics systems in which one or more constituent components lack first‐principles descriptions and must ...
Edward Huynh   +3 more
wiley   +1 more source

Non‐Elliptical Dimension Reduction in Survival Regression

open access: yesStat, Volume 15, Issue 3, September 2026.
ABSTRACT Sufficient dimension reduction (SDR) in survival regression aims to identify low‐dimensional structures that preserve the relationship between survival time and predictors. Classical SDR methods, such as sliced inverse regression (SIR), rely on strong assumptions such as linearity, constant variance and coverage conditions, which are often ...
Minjee Kim, Minjeong Kim, Jae Keun Yoo
wiley   +1 more source

Bayesian Implementation of the Factor‐Analytic Mixed Model and Application to Embeddings

open access: yesStat, Volume 15, Issue 3, September 2026.
ABSTRACT Mixed models and neural networks each offer complementary frameworks for prediction. Theoretically grounded in inference, mixed models can unveil latent variance structure notably with the factor‐analytic approach. In this article, we propose to bridge the gap between the two frameworks, leveraging embedding data from a neural network encoder ...
Alexandre Marchal   +3 more
wiley   +1 more source

Shifts in brain dynamics and drivers of consciousness state transitions. [PDF]

open access: yesFront Comput Neurosci
Bodenheimer J   +3 more
europepmc   +1 more source

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