Results 131 to 140 of about 559 (266)

Likelihood Estimation for Stochastic Differential Equations with Mixed Effects

open access: yesScandinavian Journal of Statistics, EarlyView.
ABSTRACT Stochastic differential equations provide a powerful tool for modelling dynamic phenomena affected by random noise. When time series are observed for several experimental units, it is often the case that some of the parameters vary between the individual experimental units.
Fernando Baltazar‐Larios   +2 more
wiley   +1 more source

Convergence of the Immersed Interface Method in Linear Elasticity. [PDF]

open access: yesMathematica (N Y)
Asghar S   +3 more
europepmc   +1 more source

Repelled Point Processes With Application to Numerical Integration

open access: yesScandinavian Journal of Statistics, EarlyView.
ABSTRACT We look at Monte Carlo numerical integration from a stochastic geometry point of view. While crude Monte Carlo estimators relate to linear statistics of a homogeneous Poisson point process (PPP), linear statistics of more regularly spread point processes can yield unbiased estimators with faster‐decaying variance, and thus lower integration ...
Diala Hawat   +3 more
wiley   +1 more source

Underlying SUSY in a generalized Jaynes-Cummings model. [PDF]

open access: yesSci Rep, 2021
Maldonado-Villamizar FH   +3 more
europepmc   +1 more source

Self‐Similar Blowup for the Cubic Schrödinger Equation

open access: yesCommunications on Pure and Applied Mathematics, Volume 79, Issue 8, Page 1831-1918, August 2026.
ABSTRACT We give a rigorous proof for the existence of a finite‐energy, self‐similar solution to the focusing cubic Schrödinger equation in three spatial dimensions. The proof is computer‐assisted and relies on a fixed point argument that shows the existence of a solution in the vicinity of a numerically constructed approximation.
Roland Donninger, Birgit Schörkhuber
wiley   +1 more source

Design of Differential Single‐Block and Multi‐Block Presaturated Ultrashort Echo Time Pulse Sequences for Fast and Flexible Short‐T2 Imaging

open access: yesMagnetic Resonance in Medicine, Volume 96, Issue 2, Page 711-726, August 2026.
ABSTRACT Purpose Ultrashort echo time (UTE) techniques are essential for the magnetic resonance imaging of short‐T2 signals. Current UTE techniques are time‐consuming and often require the acquisition of an inflexible volume. In this work, we implement new UTE sequences—differential single‐block presaturated UTE (δSB‐UTE) and differential multi‐block ...
Jason A. Reich   +5 more
wiley   +1 more source

Adaptive quadratures for nonlinear approximation of low-dimensional PDEs using smooth neural networks

open access: yes
Physics-informed neural networks (PINNs) and their variants have recently emerged as alternatives to traditional partial differential equation (PDE) solvers, but little literature has focused on devising accurate numerical integration methods for neural ...
Magueresse, Alexandre, Badia, Santiago
core  

Benchmarking Hybrid CNN‐Transformer Versus Pure Transformer Architectures for Accelerated Hyperpolarized 129Xe MRI Reconstruction

open access: yesJournal of Magnetic Resonance Imaging, Volume 64, Issue 1, Page 266-280, July 2026.
ABSTRACT Background Hyperpolarized 129Xe MRI faces technical challenges including low signal‐to‐noise ratio and breath‐hold constraints. Current literature focuses on proprietary deep learning methods or image‐domain enhancements. Purpose To present a comprehensive evaluation of transformer and hybrid CNN‐transformer architectures integrating dual ...
Ramtin Babaeipour   +3 more
wiley   +1 more source

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