Results 61 to 70 of about 285,691 (282)

Linear transformations of variance/covariance matrices [PDF]

Acta Crystallographica Section A Foundations of Crystallography, 2011
Many applications in crystallography require the use of linear transformations on parameters and their standard uncertainties. While the transformation of the parameters is textbook knowledge, the transformation of the standard uncertainties is more complicated and needs the full variance/covariance matrix. For the transformation of second-rank tensors
Parois, P.J.A., Lutz, M.
openaire   +4 more sources

Accelerated Discovery of High Performance Ni3S4/Ni3Mo HER Catalysts via Bayesian Optimization

Advanced Functional Materials, EarlyView.
Integrated workflow accelerates the catalyst discovery of hydrogen evolution reaction via Bayesian optimization. An experiment‐trained surrogate model proposes synthesis conditions, guiding iterative refinement using electrochemical performance metrics.
Namuersaihan Namuersaihan, Zhiqiang Zhao, Oliver J. Conquest, Ying Shu, Haoyue Sun, Chunjing Su, Qi Cheng, Aloysius Soon, Catherine Stampfl, Jun Huang   +9 more
wiley   +1 more source

Initial covariance estimation and analysis for EKF localization using route-based experimental data

Franklin Open
Reliable initialization of covariance matrices is crucial for accurate state estimation in extended Kalman filter (EKF) applications. However, many previous works did not technically formulate but rather relied on assumed or arbitrary covariance values ...
Muhammad Haniff Gusrial, Nur Aqilah Othman, Hamzah Ahmad, Mohd Hasnun Arif Hassan, Norhidayah Mohamad Yatim   +4 more
doaj   +1 more source

A note on conditional covariance matrices for elliptical distributions

, 2017
In this short note we provide an analytical formula for the conditional covariance matrices of the elliptically distributed random vectors, when the conditioning is based on the values of any linear combination of the marginal random variables.
Jaworski, Piotr, Pitera, Marcin
core   +1 more source

BACH, a Bayesian Optimization Protocol for Accurate Coarse‐Grained Parameterization of Organic Liquids

Advanced Functional Materials, EarlyView.
We present a fully automated Bayesian optimization (BO) protocol for the parameterization of nonbonded interactions in coarse‐grain CG force fields (BACH). Using experimental thermophysical data, we apply the protocol to a broad range of liquids, spanning linear, branched, and unsaturated hydrocarbons, esters, triglycerides, and water.
Janak Prabhu, Akhil Pratap Singh, Pablo Campomanes, Stefano Vanni   +3 more
wiley   +1 more source

A Computationally Efficient MUSIC Algorithm with an Enhanced DOA Estimation Performance for a Crossed-Dipole Array

Sensors
In this article, an improved real-valued dimension-reduction MUSIC (IRDR-MUSIC) algorithm is proposed for a crossed-dipole array. Initially, conjugate symmetry of the spatial component in the manifold vector is derived such that two real-valued matrices ...
Hao Nan, Xiaofeng Ma, Yubing Han, Weixing Sheng   +3 more
doaj   +1 more source

Testing the equality of multiple high-dimensional covariance matrices

Results in Applied Mathematics, 2022
In this paper, we develop a new test procedure for testing the homogeneity of multiple high-dimensional covariance matrices, where the populations may not be multivariate normal.
Jieqiong Shen
doaj   +1 more source

Positive Definite $\ell_1$ Penalized Estimation of Large Covariance Matrices [PDF]

, 2012
The thresholding covariance estimator has nice asymptotic properties for estimating sparse large covariance matrices, but it often has negative eigenvalues when used in real data analysis.
Ma, Shiqian, Xue, Lingzhou, Zou, Hui
core  

A Synovium‐on‐Chip Platform to Study Multicellular Interactions in Arthritis

Advanced Healthcare Materials, EarlyView.
The Synovium‐on‐Chip comprises a thin microporous PDMS membrane to support co‐culture of fibroblast‐like synoviocytes (FLS), THP‐1‐derived macrophages, and endothelial cells, enabling real‐time analysis of synovial‐vascular interactions. FLS migration through the pores drives endothelial remodeling, while TNF‐α stimulation induces robust inflammatory ...
Laurens R. Spoelstra, Fleur R. Semmekrot, Nuno Araújo‐Gomes, Daniël Wijnperle, Monique M. A. Helsen, Martijn H.J. Van Den Bosch, Loes. I. Segerink, Séverine Le Gac, Marcel Karperien   +8 more
wiley   +1 more source

On the Significance of Covariance for Constraining Theoretical Models from Galaxy Observables

The Astrophysical Journal
In 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, Shy Genel, Joel Leja, Benjamin Wandelt   +3 more
doaj   +1 more source