Results 171 to 180 of about 4,373,274 (284)

Bivariate variable ranking for censored time‐to‐event data via Copula link based additive models

open access: yesStatistica Neerlandica, Volume 80, Issue 4, November 2026.
Abstract In this article, we present a variable ranking approach based on a novel measure for selecting important variables in bivariate Copula Link‐Based Additive Models [30]. The proposal allows for identifying two sets of relevant covariates for the two time‐to‐events without neglecting the dependency structure that may exist between the two ...
Danilo Petti   +2 more
wiley   +1 more source

Methods for Uncertainty Quantification in Dictionary Matching to Advance Reliability of Quantitative MRI

open access: yesMagnetic Resonance in Medicine, Volume 96, Issue 4, Page 1956-1971, October 2026.
ABSTRACT Aims Purpose: Dictionary matching is a standard tool in quantitative MRI (qMRI), but typically lacks uncertainty quantification (UQ). This is critical when advanced reconstructions (e.g., compressed sensing, deep learning) introduce complex‐valued, spatially varying, and temporally correlated noise that violates standard assumptions of ...
Brian Toner   +7 more
wiley   +1 more source

Circulant Matrix‐Based Box–Behnken Designs With Economic Run Sizes

open access: yesQuality and Reliability Engineering International, Volume 42, Issue 6, Page 3326-3334, October 2026.
ABSTRACT We introduce Circulant Matrix‐Based Box–Behnken Designs (CBBDs), a new class of three‐level, second‐order response surface designs constructed using circulant matrix structures. These designs satisfy an enhanced orthogonal minimally aliased (OMA∗${\rm OMA}^*$) property: they retain the classical OMA property—where main effects are orthogonal ...
Tung‐Dinh Pham, Nam‐Ky Nguyen
wiley   +1 more source

Neural Surrogate HMC: On Using Neural Likelihoods for Hamiltonian Monte Carlo in Simulation‐Based Inference

open access: yesJournal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 5, October 2026.
Abstract Bayesian inference methods such as Markov Chain Monte Carlo (MCMC) typically require repeated computations of the likelihood function, but in some scenarios, this is infeasible and alternative methods are needed. Simulation‐based inference methods address this problem by using machine learning to amortize computations.
L. M. Wolniewicz, P. Sadowski, C. Corti
wiley   +1 more source

Immediate intraoperative detrusor muscle status at primary transurethral resection of bladder tumour: a prospective, blinded, paired cohort, feasibility study using fluorescence confocal microscopy (IB1‐LaserComplete study)

open access: yesBJU International, Volume 138, Issue 4, Page 705-713, October 2026.
Objectives To evaluate ex vivo fluorescence confocal microscopy (FCM) for immediate detrusor muscle (DM) assessment during primary transurethral resection of bladder tumour (TURBT). Patients and Methods This prospective, blinded, paired‐cohort feasibility study enrolled consecutive patients undergoing primary TURBT for suspected non‐muscle‐invasive ...
Martin J. Connor   +20 more
wiley   +1 more source

Home - About - Disclaimer - Privacy