Results 101 to 110 of about 2,737 (182)

Linking differences in personality to demography in the wandering albatross

open access: yesOikos, Volume 2026, Issue 6, June 2026.
Population dynamics are shaped by individual differences. With a good understanding of the relationships between individual differences and vital rates, population models can be improved to yield more realistic and detailed demographic projections. Personality is expected to shape individual differences in performance.
Joanie Van de Walle   +7 more
wiley   +1 more source

Comparison of A‐Posteriori Error Estimators in the Context of Parametric Model Order Reduction by Matrix Interpolation

open access: yesProceedings in Applied Mathematics and Mechanics, Volume 26, Issue 2, June 2026.
ABSTRACT The use of parametric model order reduction (pMOR) by matrix interpolation enables efficient simulation of large‐scale finite element (FE) models in multi‐query applications such as optimization and uncertainty quantification. In this method, high‐fidelity systems are sampled, individually reduced by projection‐based model order reduction, and
Sebastian Resch‐Schopper   +1 more
wiley   +1 more source

On the Foundational Arguments of Sufficient Dimension Reduction

open access: yesWIREs Computational Statistics, Volume 18, Issue 2, June 2026.
Contemporary Sufficient Dimension Reduction, a versatile method for extracting material information from data, can serve as a preprocessor for classical modeling and inference, or as a standalone theory that leads directly to statistical inference. ABSTRACT Sufficient dimension reduction (SDR) refers to supervised methods of dimension reduction that ...
R. Dennis Cook
wiley   +1 more source

Covariance Estimation for Wide Data

open access: yesWIREs Computational Statistics, Volume 18, Issue 2, June 2026.
Covariance matrix estimation is fundamental to multivariate analysis, with applications spanning finance, genomics, climate science, and signal processing. This review synthesizes recent advances in high‐dimensional covariance estimation‐thresholding, linear and nonlinear shrinkage, graphical models, and random matrix theory‐under a unifying framework ...
Eran Raviv
wiley   +1 more source

Performance Improvements to LAPACK for the Cray Scientific Library

open access: yes, 1997
This report details local modifications to LAPACK routines for the Cray Scientific Library. Performance of selected routines is evaluated and compared to that of the public domain LAPACK and the equivalent routines from LINPACK or EISPACK. Timing results
Mark Fahey, Ed Anderson
core  

Application of Deep Learning and Rain‐On‐Grid Hydrodynamic Modeling for Catchment‐Scale Flood Forecasting in Guwahati, India

open access: yesJournal of Flood Risk Management, Volume 19, Issue 2, June 2026.
ABSTRACT This study integrates deep learning‐based real‐time rainfall forecasting with hydrodynamic flood modeling to provide near real‐time predictions of urban flood inundation. The research focuses on urban Guwahati, a rapidly urbanizing city in Northeast India prone to recurrent pluvial flooding. A novel hybrid model, Multivariate Singular Spectrum
Shejule Priya Ashok, Sreeja Pekkat
wiley   +1 more source

Improving Basin‐Wide Flood Estimation From a Global Hydrological Model Through Spatiotemporal‐Pattern‐Based Machine Learning

open access: yesJournal of Flood Risk Management, Volume 19, Issue 2, June 2026.
ABSTRACT When estimating future flood events using a global hydrological model (GHM), the large uncertainties associated with general circulation models (GCMs) and bias in the GHM model pose significant challenges. In the meantime, most future flood estimations are conducted only at specific gauge stations due to limited data availability and are ...
Jiaqing Wang, Quan J. Wang, Jianshi Zhao
wiley   +1 more source

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