Results 101 to 110 of about 1,787,003 (299)

A NUV-Based Adaptive Robust Unscented Kalman Filter for Nonlinear State Estimation Under Cyberattacks

IEEE Access
Cyberattacks in Cyber-Physical Systems (CPS) can corrupt sensor measurements, significantly degrading nonlinear state estimation accuracy and causing numerical instability during filtering.
Anpeng Chen, Zhu Ren, Pengcheng Dai, Xue Xiong   +3 more
doaj   +1 more source

A proximal distance algorithm for likelihood-based sparse covariance estimation. [PDF]

Biometrika, 2022
Xu J, Lange K.
europepmc   +1 more source

Microscale Mapping of Fiber Strain and Damage in Composite Wrinkled Laminates Using Computed Tomography Assisted Wide‐Angle X‐Ray Scattering

Advanced Science, EarlyView.
This study combines full‐field tomography with diffraction mapping to quantify radial (ε002$\varepsilon _{002}$) and axial (ε100$\varepsilon _{100}$) lattice strain in wrinkled carbon‐fiber specimens for the first time. Radial microstrain gradients (−14.5 µεMPa$\varepsilon \mathrm{MPa}$−1) are found to signal damage‐prone zones ahead of failure, which ...
Hoang Minh Luong, James Trevarthen, Igor Dolbnya, Wadwan Singhapong, Nicholas Pilato, Richard Butler, Jiraphant Srisuriyachot, Alexander J. G. Lunt   +7 more
wiley   +1 more source

ML Workflows for Screening Degradation‐Relevant Properties of Forever Chemicals

Advanced Science, EarlyView.
The environmental persistence of per‐ and polyfluoroalkyl substances (PFAS) necessitates efficient remediation strategies. This study presents physics‐informed machine learning workflows that accurately predict critical degradation properties, including bond dissociation energies and polarizability.
Pranoy Ray, Andrew R. Castillo, Manoj Kolel‐Veetil, Surya R. Kalidindi   +3 more
wiley   +1 more source

Model Risk in Portfolio Optimization

Risks, 2014
We consider a one-period portfolio optimization problem under model uncertainty. For this purpose, we introduce a measure of model risk. We derive analytical results for this measure of model risk in the mean-variance problem assuming we have ...
David Stefanovits, Urs Schubiger, Mario V. Wüthrich   +2 more
doaj   +1 more source

Mean and Covariance Estimation for Functional Snippets. [PDF]

J Am Stat Assoc, 2022
Lin Z, Wang JL.
europepmc   +1 more source

Synchronization‐Dissipation in the Cardiorespiratory System

Advanced Science, EarlyView.
By modeling central nervous coupling and viscoelastic interactions in the cardiorespiratory system we show that synchronization produces a 10% gain in cardiac efficiency in humans. It is surmised that respiratory sinus arrhythmia improves cardiac pumping efficiency by reducing dynamic stress and power dissipation in the pulmonary vasculature.
Joshua R. Border, Alain Nogaret, Andrew Lefevre, Vishal Jain   +3 more
wiley   +1 more source

Consistent estimate of a residuals covariance for the estimation of noise covariance

Proceedings of the ISCIE International Symposium on Stochastic Systems Theory and its Applications, 2023
Ikeda, Kenji, Tanaka, Hideyuki
openaire   +1 more source

Estimation in the Uniform Covariance Case

Journal of the Royal Statistical Society Series B: Statistical Methodology, 1964
Summary There are three basic methods (confidence, fiducial, Bayesian) of obtaining interval estimates or estimating regions for the parameters of the multivariate normal distribution, none of which need necessarily yield a unique solution, although this has been claimed as a property of the fiducial argument.
openaire   +2 more sources

Bayes linear covariance matrix adjustment [PDF]

, 1995
In this thesis, a Bayes linear methodology for the adjustment of covariance matrices is presented and discussed. A geometric framework for quantifying uncertainties about covariance matrices is set up, and an inner-product for spaces of random matrices ...
Wilkinson, Darren James
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