Results 151 to 160 of about 1,833 (248)

Dynamic Earthquake Source Inversion With Generative Adversarial Network Priors

Journal of Geophysical Research: Solid Earth, Volume 131, Issue 3, March 2026.
Abstract Dynamic earthquake source inversion consists of inferring frictional parameters and initial stress on a fault consistent with recorded seismological and geodetic data and with dynamic earthquake rupture models. In a Bayesian inversion approach, the nonlinear relationship between model parameters and data requires a computationally demanding ...
Jan Premus, Jean Paul Ampuero
wiley   +1 more source

Varifold solutions to volume-preserving mean curvature flow: existence and weak-strong uniqueness. [PDF]

Math Ann
Poiatti A.
europepmc   +1 more source

Reserve Price Signaling With Public Information: Evidence From Online Auto Auctions

The RAND Journal of Economics, Volume 57, Issue 1, Page 245-266, Spring 2026.
ABSTRACT This article considers an auction model in which a seller's choice of reserve price signals her private information about the object's quality. We show that the signaling incentive would lower the seller's payoff and the probability of sale. We estimate the model using a novel dataset from a large online auto auction platform.
Junyan Guan, Boli Xu
wiley   +1 more source

Existence of variational solutions to doubly nonlinear systems in nondecreasing domains. [PDF]

J Evol Equ
Schätzler L, Scheven C, Siltakoski J, Stanko C.   +3 more
europepmc   +1 more source

Longitudinal Alzheimer’s Disease Progression Modelling via Hybrid Vision Transformers and Recurrent Neural Networks With Cross‐Modal Feature Fusion

Expert Systems, Volume 43, Issue 3, March 2026.
ABSTRACT Modelling the evolution of Alzheimer's disease (AD) requires a thorough spatiotemporal study of longitudinal neuroimaging data. We propose in this paper a novel deep learning framework that uses a parallel combination of Recurrent Neural Networks (RNNs) and Vision Transformers (ViT) to extract temporal disease dynamics and spatial structural ...
Sahbi Bahroun, Gwanggil Jeon
wiley   +1 more source

Bridging barriers, integrating insights: The Gotham approach to CTSA collaborative evaluation. [PDF]

J Clin Transl Sci
Kane CT, Lipschitz EE, Abedin Z, Muhammad K, Nickerson BJ, Rhim G, Lechuga C, Tobin JN, Neville-Williams MN, Lyu C, Lai AY.   +10 more
europepmc   +1 more source

On goodness‐of‐fit testing for self‐exciting point processes

Scandinavian Journal of Statistics, Volume 53, Issue 1, Page 102-139, March 2026.
Abstract Despite the wide usage of parametric point processes in theory and applications, a sound goodness‐of‐fit procedure to test whether a given parametric model is appropriate for data coming from a self‐exciting point process has been missing in the literature.
José Carlos Fontanesi Kling, Mathias Vetter   +1 more
wiley   +1 more source

Fast Reflected Forward-Backward algorithm: achieving fast convergence rates for convex optimization with linear cone constraints. [PDF]

J Sci Comput
Boţ RI, Nguyen DK, Zong C.
europepmc   +1 more source

Approximation of continuous functions by Lipschitz functions

, 2000
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire   +2 more sources

Variable selection via thresholding

Scandinavian Journal of Statistics, Volume 53, Issue 1, Page 207-237, March 2026.
Abstract Variable selection comprises an important step in many modern statistical inference procedures. In the regression setting, when estimators cannot shrink irrelevant signals to zero, covariates without relationships to the response often manifest small but nonzero regression coefficients.
Ka Long Keith Ho, Hien Duy Nguyen
wiley   +1 more source