Results 41 to 50 of about 124 (120)
The fundamental theorem of asset pricing with and without transaction costs
Mathematical Finance, Volume 35, Issue 2, Page 567-609, April 2025.Abstract We prove a version of the fundamental theorem of asset pricing (FTAP) in continuous time that is based on the strict no‐arbitrage condition and that is applicable to both frictionless markets and markets with proportional transaction costs. We consider a market with a single risky asset whose ask price process is higher than or equal to its ...
Christoph Kühn
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NMR in Biomedicine, Volume 39, Issue 6, June 2026.We adapted to the spinal cord (SC) an MRI technique called quantitative susceptibility mapping (QSM) to produce the first high‐resolution axial QSM maps of the cervical SC. Applied to multiple sclerosis, it reveals differences between gray matter, white matter, and lesions, suggesting its potential for improved lesion characterization.
Benjamin Streichenberger +8 more
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Quantitative Biology, Volume 14, Issue 2, June 2026.Abstract Computed tomography (CT) images are often severely corrupted by artifacts in the presence of metals. Existing supervised metal artifact reduction (MAR) approaches suffer from performance instability on known data due to their reliance on limited paired metal‐clean data, which limits their clinical applicability. Moreover, existing unsupervised
Jie Wen +3 more
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On the Foundational Arguments of Sufficient Dimension Reduction
WIREs Computational Statistics, Volume 18, Issue 2, June 2026.Contemporary Sufficient Dimension Reduction, a versatile method for extracting material information from data, can serve as a preprocessor for classical modeling and inference, or as a standalone theory that leads directly to statistical inference. ABSTRACT Sufficient dimension reduction (SDR) refers to supervised methods of dimension reduction that ...
R. Dennis Cook
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Trust‐region filter algorithms utilizing Hessian information for gray‐box optimization
AIChE Journal, Volume 72, Issue 5, May 2026.Abstract Optimizing industrial processes often involves gray‐box models that couple algebraic glass‐box equations with black‐box components lacking analytic derivatives. Such systems challenge derivative‐based solvers. The classical trust‐region filter (TRF) algorithm provides a robust framework but requires extensive parameter tuning and numerous ...
Gul Hameed +4 more
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T2$$ {\boldsymbol{T}}_{\mathbf{2}} $$‐Weighted Imaging of Water, Fat and Silicone
Magnetic Resonance in Medicine, Volume 95, Issue 5, Page 2765-2775, May 2026.ABSTRACT Purpose Magnetic resonance imaging (MRI) is a sensitive method for assessing silicone implant integrity, with T2$$ {T}_2 $$‐weighted imaging being essential for detecting abnormalities in surrounding tissue. Silicone breast imaging protocols often require multiple tailored sequences for species suppression and diagnostic contrast. We propose a
Aizada Nurdinova +6 more
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Spatial Image Gradient Estimation From the Diffusion MRI Profile
Magnetic Resonance in Medicine, Volume 95, Issue 5, Page 2980-2991, May 2026.ABSTRACT Purpose In the course of diffusion, water molecules encounter varying values for the relaxation‐time properties of the underlying tissue. This factor, which has rarely been accounted for in diffusion MRI (dMRI), is modeled in this work, allowing for the estimation of the gradient of relaxation‐time properties from the dMRI signal. Methods With
Iman Aganj +4 more
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Stabilizing Extreme Few‐Shot ECG Classification via Self‐Supervised Contrastive Pretraining
Annals of Noninvasive Electrocardiology, Volume 31, Issue 3, May 2026.Under extreme few‐shot ECG classification, supervised training frequently collapses to degenerate solutions. Self‐supervised pretraining stabilizes optimization, eliminates early collapse, and enables reproducible multi‐class rhythm classification with limited labeled data. ABSTRACT In clinical electrocardiogram (ECG) analysis, high‐quality annotations
LiuPing Zeng +3 more
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Disjunctive Cuts for Nonconvex MINLP [PDF]
, 2011 Mixed Integer Nonlinear Programming (MINLP) problems present two main challenges: the integrality of a subset of variables and nonconvex (nonlinear) objective function and constraints. Many exact solvers for MINLP are branch-and-bound algorithms that compute a lower bound on the optimal solution using a linear programming relaxation of the original ...
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Market Equilibrium with Nonconvex Technologies [PDF]
, 1992 The standard Arrow-Debreu-MacKenzie general equilibrium model provides a basic tool for the understanding of the functioning of competitive markets. It allows us to give a positive answer to the old question concerning the capability of prices and markets to coordinate the economic activity in a decentralized framework.
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