Results 61 to 70 of about 55,908 (306)
On the Significance of Covariance for Constraining Theoretical Models from Galaxy Observables
The Astrophysical JournalIn this study, we investigate the impact of covariance within uncertainties on the inference of cosmological and astrophysical parameters, specifically focusing on galaxy stellar mass functions derived from the CAMELS simulation suite.
Yongseok Jo +3 more
doaj +1 more source
Arthritis Care &Research, EarlyView.Objective Hydroxychloroquine (HCQ) is a cornerstone therapy in systemic lupus erythematosus (SLE), but the weight‐based dosing does not account for clinical factors that can introduce individual variability in drug metabolism and clearance. We leveraged longitudinal data from a prospective SLE cohort to identify clinical factors that predict ...
Jay J. Patel +6 more
wiley +1 more source
Invariant Tests on Covariance Matrices
The Annals of Statistics, 1981 Minimal complete classes of invariant tests are presented for modifications of the problem of testing the independence of $Y$ and $X$, where $(Y, X) \equiv (Y, X_1, \cdots, X_p)$ is a multivariate normal random vector. One modification involves having extra independent observations on $Y$.
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Universality of covariance matrices
The Annals of Applied Probability, 2014 Published in at http://dx.doi.org/10.1214/13-AAP939 the Annals of Applied Probability (http://www.imstat.org/aap/) by the Institute of Mathematical Statistics (http://www.imstat.org)
Pillai, Natesh S., Yin, Jun
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Arthritis Care &Research, EarlyView.Objective JAK inhibitors (JAKi) have shown promising effects in early‐phase studies of systemic sclerosis (SSc). We aimed to assess the safety and explore the effectiveness of JAKi compared to conventional immunosuppressants in SSc. Methods A longitudinal retrospective study of the European Scleroderma Trials and Research Group (EUSTAR) cohort was ...
Stefano Di Donato +27 more
wiley +1 more source
Small Sample Motor Imagery Classification Using Regularized Riemannian Features
IEEE Access, 2019 Motor imagery-based electroencephalogram brain-computer interface (BCI) performance suffers from huge variations within and across subjects. This is due to different spatial and temporal characteristics among the subjects. To address these variabilities,
Amardeep Singh +2 more
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Pose estimation by extended Kalman filter using noise covariance matrices based on sensor output
ROBOMECH Journal, 2020 This paper presents an extended Kalman filter for pose estimation using noise covariance matrices based on sensor output. Compact and lightweight nine-axis motion sensors are used for motion analysis in widely various fields such as medical welfare and ...
Ayuko Saito +3 more
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Spectra of empirical auto-covariance matrices [PDF]
EPL (Europhysics Letters), 2012 4 pages, 2 ...
Kuehn, R., Sollich, P.
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Advanced Engineering Materials, EarlyView.Predicting extreme defects in additive manufacturing remains a key challenge limiting its structural reliability. This study proposes a statistical framework that integrates Extreme Value Theory with advanced process indicators to explore defect–process relationships and improve the estimation of critical defect sizes. The approach provides a basis for
Muhammad Muteeb Butt +8 more
wiley +1 more source
Improving the condition number of estimated covariance matrices
Tellus: Series A, Dynamic Meteorology and Oceanography, 2020 High dimensional error covariance matrices and their inverses are used to weight the contribution of observation and background information in data assimilation procedures.
Jemima M. Tabeart +4 more
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