Results 51 to 60 of about 143 (140)

Frequency‐dependent contraction rates for the Bayesian method to the inverse source problem

Transactions of the London Mathematical Society, Volume 13, Issue 1, December 2026.
Abstract This paper addresses an inverse source problem for acoustic waves in a range of frequencies. Our study has two main goals. First, although the problem is severely ill‐posed with a logarithmic stability estimate, we demonstrate, through careful analysis of the forward map's singular values, that increasing the frequency range enhances stability,
Pu‐Zhao Kow, Jenn‐Nan Wang
wiley   +1 more source

Decision-making algorithms for learning and adaptation with application to COVID-19 data. [PDF]

Signal Processing, 2022
Marano S, Sayed AH.
europepmc   +1 more source

Stochastic Gradient Descent in High Dimensions for Multi‐Spiked Tensor PCA

Communications on Pure and Applied Mathematics, Volume 79, Issue 10, Page 2291-2369, October 2026.
ABSTRACT We study the high‐dimensional dynamics of online stochastic gradient descent (SGD) for the multi‐spiked tensor model. This multi‐index model arises from the tensor principal component analysis (PCA) problem with multiple spikes, where the goal is to estimate the unknown signal vectors within the N$N$‐dimensional unit sphere through maximum ...
Gérard Ben Arous, Cédric Gerbelot, Vanessa Piccolo   +2 more
wiley   +1 more source

Nonparametric Assessment of the Calibration of Individualized Treatment Effects

Statistics in Medicine, Volume 45, Issue 20-22, September 2026.
ABSTRACT An important aspect of the performance of algorithms that predict individualized treatment effects (ITEs) is moderate calibration, that is, the average treatment effect among individuals with predicted treatment effect of z being equal to z. The assessment of moderate calibration is a challenging task on two fronts: counterfactual responses ...
Mohsen Sadatsafavi, Jeroen Hoogland, Thomas P. A. Debray, John Petkau   +3 more
wiley   +1 more source

Survival Analysis of Fatigue Lifetime in Aged Elastomers Using Weibull and Cox Regression Models

Fatigue &Fracture of Engineering Materials &Structures, Volume 49, Issue 9, Page 3854-3873, September 2026.
ABSTRACT Fatigue tests conducted on elastomers inherently exhibit significant variability. Aging may induce stiffening and embrittlement, leading to premature failures outside the specimen gauge length and resulting in right‐censored data. Combined with the limited number of specimens, this leads to large uncertainties in fatigue lifetime estimation ...
M. Caillat, H. Madeira, P.‐Y. Le Gac, M. Le Gall, E. Verron   +4 more
wiley   +1 more source

Bayesian Inference for Multivariate Monotone Densities

Scandinavian Journal of Statistics, Volume 53, Issue 3, Page 1206-1229, September 2026.
ABSTRACT We consider a nonparametric Bayesian approach to estimation and testing for a multivariate monotone density. Instead of following the conventional Bayesian approach of imposing a prior that satisfies the monotonicity restriction, we place a prior on the step heights via binning and a Dirichlet distribution. The resulting posterior distribution
Kang Wang, Subhashis Ghosal
wiley   +1 more source

Real‐World Outcomes of Acute Myeloid Leukemia Patients Undergoing Treatment With Tyrosine Kinase Inhibitor (TKI) Therapy Targeting FLT3, IDH1, or IDH2

Cancer Reports, Volume 9, Issue 8, August 2026.
ABSTRACT Background and Aims Acute myeloid leukemia (AML) remains the most common cause of death in adults with acute leukemia. Tyrosine kinase inhibitors (TKIs) have shown significant clinical efficacy in defined patient subgroups. Real‐world outcomes of AML patients undergoing TKI therapy have not been widely reported.
Manuel R. Espinoza‐Gutarra, Brooke Jarret, Xiaoliang Wang, Anosheh Afghahi, Sejong Bae   +4 more
wiley   +1 more source

Invariant Measure and Universality of the 2D Yang–Mills Langevin Dynamic

Communications on Pure and Applied Mathematics, Volume 79, Issue 8, Page 1973-2102, August 2026.
ABSTRACT We prove that the Yang–Mills (YM) measure for the trivial principal bundle over the two‐dimensional torus, with any connected, compact structure group, is invariant for the associated renormalised Langevin dynamic. Our argument relies on a combination of regularity structures, lattice gauge‐fixing and Bourgain's method for invariant measures ...
Ilya Chevyrev, Hao Shen
wiley   +1 more source

Robust Tests of Forecast Accuracy for Factor‐Augmented Regressions With an Application to the Novel EA‐MD‐QD Dataset

Journal of Applied Econometrics, Volume 41, Issue 5, Page 549-566, August 2026.
ABSTRACT We present four novel tests of equal predictive accuracy and encompassing á Pitarakis (2023, 2025) for factor‐augmented regressions. Factors are estimated using cross‐section averages (CAs) of grouped series and our theoretical findings are empirically relevant: asymptotic normality, robustness to an overspecification of the number of factors,
Alessandro Morico, Ovidijus Stauskas
wiley   +1 more source

A Joint Test of Unconfoundedness and Common Trends

Journal of Applied Econometrics, Volume 41, Issue 5, Page 684-709, August 2026.
ABSTRACT We introduce an overidentification test of two alternative assumptions to identify the average treatment effect on the treated in a two‐period panel data setting: unconfoundedness and common trends. Under unconfoundedness, treatment assignment and post‐treatment outcomes are independent, conditional on control variables and pre‐treatment ...
Martin Huber, Eva‐Maria Oeß
wiley   +1 more source