Results 61 to 70 of about 149 (131)

A Deep Learning‐Enhanced Ensemble Smoother for Non‐Gaussian Hydrological Data Assimilation Without Relying on Innovation Vectors

open access: yesJournal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 3, June 2026.
Abstract Data assimilation (DA) plays a critical role in reducing simulation uncertainty in hydrological systems by leveraging available observations to estimate model states and/or parameters. Among DA methods, the ensemble smoother (ES) has emerged as an attractive option for parameter estimation due to its computational efficiency and ...
Jiangjiang Zhang   +4 more
wiley   +1 more source

A minimising movement scheme for the <i>p</i>-elastic energy of curves. [PDF]

open access: yesJ Evol Equ, 2022
Blatt S, Hopper CP, Vorderobermeier N.
europepmc   +1 more source

From gateway to value ladder—The curious case of online mutual aid in China

open access: yesJournal of Risk and Insurance, Volume 93, Issue 2, Page 349-387, June 2026.
Abstract This study examines how InsurTech‐enabled information provision, specifically the disclosure of claimant information previously unavailable in conventional insurance, influences individuals' insurance uptake. We leverage Mutual Aid (MA) platforms as a natural context to examine how socially framed loss information, peer influence, and salience
Ze Chen   +3 more
wiley   +1 more source

Spreading Speed for a Vector‐Borne Disease System on Non‐Coincident Straight Infinite Cylinders

open access: yesStudies in Applied Mathematics, Volume 156, Issue 6, June 2026.
ABSTRACT Vector‐borne diseases remain an increasing global public health concern. In this work, we investigate the spreading speed of vector‐borne disease via a four‐component reaction–diffusion system posed on non‐coincident straight infinite cylinders, which stands for an unconventional spatial configuration.
Arnaud Ducrot   +2 more
wiley   +1 more source

Sensitivity analysis for generalized estimating equation with non‐ignorable missing data

open access: yesScandinavian Journal of Statistics, Volume 53, Issue 2, Page 735-762, June 2026.
Abstract Many incomplete‐data statistical inference procedures are developed under the missing at random (MAR) assumption. However, the MAR assumption has been criticized as being overly strong for real‐data problems, and is unverifiable by using observed data. To handle data that are missing not at random (MNAR), sensitivity analysis has been proposed
Hui Gong, Kin Wai Chan
wiley   +1 more source

Hopf Bifurcations of Moore-Greitzer PDE Model with Additive Noise. [PDF]

open access: yesJ Nonlinear Sci, 2023
Meng Y, Namachchivaya NS, Perkowski N.
europepmc   +1 more source

Multiplicity of nonnegative solutions for semilinear Robin problems involving sign‐changing nonlinearities

open access: yesBulletin of the London Mathematical Society, Volume 58, Issue 6, June 2026.
Abstract In this article, we investigate the existence and multiplicity of solutions to the Robin problem −Δu=λf(u)inΩ,∂u∂ν+γu=0on∂Ω,$$\begin{equation*} {\begin{cases} -\Delta u = \lambda f(u) & \text{in } \Omega,\\ \frac{\partial u}{\partial \nu } + \gamma u=0 & \text{on } \partial \Omega, \end{cases}} \end{equation*}$$where Ω⊂RN$\Omega \subset ...
José Carmona Tapia   +2 more
wiley   +1 more source

Sharp estimates for the Laplacian torsional rigidity with negative Robin boundary conditions

open access: yesBulletin of the London Mathematical Society, Volume 58, Issue 6, June 2026.
Abstract Motivated by pioneering works of Bandle and Wagner, given a bounded Lipschitz domain Ω⊂Rd$\Omega \subset \mathbb {R}^d$ with d⩾3$d\geqslant 3$, we consider the Robin–Laplacian torsional rigidity τα(Ω)$\tau _\alpha (\Omega)$ with negative boundary parameter α$\alpha$ and we show that sharp inequalities for τα(Ω)$\tau _\alpha (\Omega)$ hold if ...
Nunzia Gavitone   +2 more
wiley   +1 more source

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