Results 131 to 140 of about 10,137 (199)

Coherent Disaggregation and Uncertainty Quantification for Spatially Misaligned Data

Environmetrics, Volume 37, Issue 2, March 2026.
ABSTRACT Spatial misalignment arises when datasets are aggregated or collected at different spatial scales, leading to information loss. We develop a Bayesian disaggregation framework that links misaligned data to a continuous‐domain model through an iteratively linearised integration scheme implemented with the Integrated Nested Laplace Approximation (
Man Ho Suen, Mark Naylor, Finn Lindgren
wiley   +1 more source

Learning Covariate Relations in Disease Progression Models Using Symbolic Neural Networks

CPT: Pharmacometrics &Systems Pharmacology, Volume 15, Issue 3, March 2026.
ABSTRACT Covariate modeling provides individual predictions of outcomes by disease progression models. Current methodology for mapping covariates onto model parameters is limited by predefined parametric functions which can result in inadequate covariate selection and biased predictions by the final model. Furthermore, present methodology scales poorly
Jesper Sundell, Ylva Wahlquist, Maria C. Kjellsson, Mats O. Karlsson, Kristian Soltesz   +4 more
wiley   +1 more source

Individual brain metabolic connectome indicator based on Kullback-Leibler Divergence Similarity Estimation predicts progression from mild cognitive impairment to Alzheimer's dementia. [PDF]

Eur J Nucl Med Mol Imaging, 2020
Wang M, Jiang J, Yan Z, Alberts I, Ge J, Zhang H, Zuo C, Yu J, Rominger A, Shi K, Alzheimer’s Disease Neuroimaging Initiative.   +10 more
europepmc   +1 more source

Robust Inference for Intermittently‐Monitored Step‐Stress Tests Under Weibull Lifetime Distributions

Quality and Reliability Engineering International, Volume 42, Issue 2, Page 837-857, March 2026.
ABSTRACT Many modern products exhibit high reliability under normal operating conditions. Conducting life tests under these conditions may result in very few observed failures, insufficient for accurate inferences. Instead, accelerated life tests (ALTs) must be performed.
Narayanaswamy Balakrishnan, María Jaenada, Leandro Pardo   +2 more
wiley   +1 more source

Loading Non‐Maxwellian Velocity Distributions in Particle Simulations

Journal of Geophysical Research: Space Physics, Volume 131, Issue 3, March 2026.
Abstract Numerical procedures for generating non‐Maxwellian velocity distributions in particle simulations are presented. First, Monte Carlo methods for the (r,q) $(r,q)$ distribution that generalizes flattop and Kappa distributions are discussed. Then, two rejection methods for the regularized Kappa distribution are presented, followed by a comparison
Seiji Zenitani, Shunsuke Usami, Shuichi Matsukiyo   +2 more
wiley   +1 more source

Mineralogical Classification of CRISM Hyperspectral Data Under Uncertainty With Hybrid Neural Networks

Journal of Geophysical Research: Planets, Volume 131, Issue 3, March 2026.
Abstract Orbital remote sensing observations are a lynchpin of planetary science research. Hyperspectral infrared spectroscopy in particular is key for planetary mineralogical exploration, for example, CRISM for Mars, as this underpins our understanding of the distribution of specific lithologies and the geological process leading to their formation ...
Robert Platt, Rossella Arcucci, Cédric M. John   +2 more
wiley   +1 more source

Machine Learning‐Ready Data Sets for the Analysis and Nowcasting of Atmospheric Radiation at Aviation Altitudes

Space Weather, Volume 24, Issue 3, March 2026.
Abstract Nowcasting and forecasting of the radiation environment in the Earth's lower atmosphere are critical for the safety of aircraft and spacecraft crews and passengers. Currently, this problem is addressed by employing statistical and physics‐based models that take into account particle transport and precipitation.
V. M. Sadykov, Z. M. Watkins, D. Kempton, W. Jones, S. K. C, G. T. Goodwin, X. He, W. K. Tobiska, I. Kitiashvili, C. Mertens, S. Ranjan, D. G. Deardorff, R. Spaulding   +12 more
wiley   +1 more source

Variational and Monte Carlo Methods for Bayesian Inversion of Dynamic Subsurface Flow Simulations Using Seismic and Fluid Pressure Data

Water Resources Research, Volume 62, Issue 3, March 2026.
Abstract In order to predict future performance of subsurface fluid reservoirs under possible operating scenarios, a dynamic, porous‐medium flow simulation model must be tuned to include representative properties of the reservoir. Estimating subsurface reservoir properties given remotely sensed or borehole‐based observations typically involves finding ...
Zhen Zhang, Xuebin Zhao, Andrew Curtis
wiley   +1 more source

Estimating the spectrum in computed tomography via Kullback-Leibler divergence constrained optimization. [PDF]

Med Phys, 2019
Ha W, Sidky EY, Barber RF, Schmidt TG, Pan X.   +4 more
europepmc   +1 more source

Automated Residual Plot Assessment With the R Package autovi and the Shiny Application autovi.web

Australian &New Zealand Journal of Statistics, Volume 68, Issue 1, March 2026.
ABSTRACT Visual assessment of residual plots is a common approach for diagnosing linear models, but it relies on manual evaluation, which does not scale well and can lead to inconsistent decisions across analysts. The lineup protocol, which embeds the observed plot among null plots, can reduce subjectivity but requires even more human effort.
Weihao Li, Dianne Cook, Emi Tanaka, Susan VanderPlas, Klaus Ackermann   +4 more
wiley   +1 more source