Results 171 to 180 of about 47,776 (252)

Modeling the Intermediate Flow Regime in Flow‐Compensated Intravoxel Incoherent Motion MRI

Magnetic Resonance in Medicine, Volume 95, Issue 6, Page 3476-3487, June 2026.
ABSTRACT Purpose The intravoxel incoherent motion (IVIM) model is commonly used to separate the effects of motion related to diffusion and blood microcirculation (perfusion) on the MR signal. Depending on the encoding time (T), it is possible to probe the different temporal regimes of blood motion, which resemble a ballistic flow at short T and a ...
Louise Rosenqvist, Mikael Montelius, Isabella M. Björkman‐Burtscher, Elina Petersson, Maria Ljungberg, Oscar Jalnefjord   +5 more
wiley   +1 more source

Data-Driven Chance Constrained Mixed Integer Nonlinear Bilevel Optimization via Copulas. [PDF]

Ind Eng Chem Res
Johnn SN, Nikkhah H, Tsai ML, Avraamidou S, Beykal B, Charitopoulos VM.   +5 more
europepmc   +1 more source

Hierarchical Bayesian Modelling Improves Microstructural Parameter Mapping in Diffusion and Exchange MRI Data

NMR in Biomedicine, Volume 39, Issue 6, June 2026.
Our hierarchical Bayesian modelling (HBM) technique is demonstrated in two neuroimaging diffusion MRI models. When compared with least‐squares (LSQ) minimisation, HBM increased the accuracy, precision, contrast‐to‐noise ratio and parameter map quality in simulated and human data. HBM also resolved local parameter variations associated with white matter
Elizabeth Powell, Mark Maskery, Hedley C. A. Emsley, Laura M. Parkes, Geoff J. M. Parker, Paddy J. Slator   +5 more
wiley   +1 more source

Efficient algorithm for optimal wavelength selection in photoacoustic spectral unmixing. [PDF]

Biomed Opt Express
Smith C, Langley A, Sankepalle D, Mallidi S, Bouma BE, Veysset D.   +5 more
europepmc   +1 more source

Survey on AI‐Enabled Computer Vision Technologies and Applications for Space Robotic Missions

Journal of Field Robotics, Volume 43, Issue 4, Page 2553-2584, June 2026.
ABSTRACT This survey provides a comprehensive overview of recent advancements and challenges in Artificial Intelligence (AI)‐enabled computer vision (CV) techniques for space robotic missions, spanning critical phases such as Entry, Descent, and Landing (EDL), orbital operations, and planetary surface exploration.
Maciej Quoos, Steven Kay, Julia Wajoras, Robert Field, Evridiki V. Ntagiou, Fakher Mohammad, Yang Gao   +6 more
wiley   +1 more source

Statistical Detection of Adversarial Compliance With Benford's Law

Statistical Analysis and Data Mining: An ASA Data Science Journal, Volume 19, Issue 3, June 2026.
ABSTRACT We address the task of identifying anomalous observations by analyzing digits under the lens of Benford's law. Motivated by the crucial objective of providing reliable statistical analysis of customs declarations, we answer one major and still open question: How can we detect the behavior of operators who are aware of the prevalence of the ...
Lucio Barabesi, Andrea Cerioli, Andrea Cerasa, Domenico Perrotta   +3 more
wiley   +1 more source

Unsupervised Time‐Event Probabilistic Classification Using Large Panels of Time Series

Statistical Analysis and Data Mining: An ASA Data Science Journal, Volume 19, Issue 3, June 2026.
ABSTRACT This study presents a framework to perform unsupervised time‐event probabilistic classification using time series data of large cross‐sectional dimension. These datasets often exhibit complexities such as non‐linearities, structural breaks, asynchronicity, missing data, and outliers; which hampers their analysis and modeling.
Máximo Camacho, Javier Palarea‐Albaladejo, Manuel Ruiz Marín   +2 more
wiley   +1 more source

Mixture‐Based Estimation of Multivariate Data Hypervolume

Statistical Analysis and Data Mining: An ASA Data Science Journal, Volume 19, Issue 3, June 2026.
ABSTRACT Estimating the hypervolume occupied by multivariate data is a fundamental problem in statistics and data science, with applications ranging from ecology and machine learning to multi‐objective optimization and Bayesian inference. Traditional approaches rely on geometric approximations, kernel density estimation, or convex‐hull constructions ...
Luca Scrucca
wiley   +1 more source

Estimating the Variance–Covariance Matrix of Two‐Step Estimates of Latent Variable Models: A General Simulation‐Based Approach

Statistical Analysis and Data Mining: An ASA Data Science Journal, Volume 19, Issue 3, June 2026.
ABSTRACT We propose a general procedure for estimating the variance–covariance matrix of two‐step estimates of structural parameters in latent variable models. The method is partially simulation‐based, in that it includes drawing simulated values of the measurement parameters of the model from their sampling distribution obtained from the first step of
Roberto Di Mari, Jouni Kuha
wiley   +1 more source

Variable Selection for Illness‐Death Processes Under Dual Observation Schemes

Statistics in Medicine, Volume 45, Issue 13-14, June 2026.
ABSTRACT The classical illness‐death process offers a useful framework for studying the progression of chronic disease while jointly modeling death. In many settings the time of disease progression is not observed directly, but progression status is recorded at intermittent assessment times.
Xianwei Li, Liqun Diao, Richard J. Cook
wiley   +1 more source