Results 161 to 170 of about 623,991 (302)

The Kullback–Leibler Divergence and the Convergence Rate of Fast Covariance Matrix Estimators in Galaxy Clustering Analysis

The Astrophysical Journal
We present a method to quantify the convergence rate of the fast estimators of the covariance matrices in the large-scale structure analysis. Our method is based on the Kullback–Leibler (KL) divergence, which describes the relative entropy of two ...
Zhigang Li, Zhejie Ding, Yu Yu, Pengjie Zhang   +3 more
doaj   +1 more source

CausalCellInfer: Prioritizing Cell‐Type‐Specific Disease Associations From Genetically Predicted Transcriptomes in Biobank Cohorts

Advanced Science, EarlyView.
Bulk and genotype‐imputed transcriptomes obscure the cellular drivers of complex disease. CausalCellInfer resolves them by integrating invariant marker selection, deep learning deconvolution, and regularized matrix completion. Applied to ∼500 000 UK Biobank participants across 29 traits, it uncovers hallmark cell‐type proportion shifts, including ...
Liangying Yin, Yujia Shi, Ruoyu Zhang, Yong Xiang, Jinghong Qiu, Pak‐Chung Sham, Hon‐Cheong So   +6 more
wiley   +1 more source

Multi‐Omics Analyses Identify Candidate Genes Associated With Stage‐Specific Quality Formation in Mulching‐Treated Moso Bamboo Shoots

Advanced Science, EarlyView.
Organic mulching reprograms Moso bamboo shoot development, enhancing yield and nutritional quality. This multi‐omics study reveals that coordinated metabolic, transcriptional, and post‐transcriptional regulation drives stage‐specific quality formation, offering comprehensive insights into how this agricultural practice improves crop performance and ...
Bo Wang, Yanbin Wang, Chunyue Wang, Zishan Ahmad, Peixin Teng, Huijing Ni, Qiang Wei, Muthusamy Ramakrishnan   +7 more
wiley   +1 more source

µSlicer for Programmable Multimaterial 3D Printing

Advanced Science, EarlyView.
ABSTRACT Nature rarely builds with uniform materials; instead, it achieves exceptional performance by arranging composition and structure across multiple length scales. Mimicking such architectures has become increasingly feasible with additive manufacturing, and especially with multimaterial 3D printing, where complex structures with spatially varying
Daniel H. Meile, Berin Šeta, Md. Tusher Mollah, Yohan Jacquet, Rob Wolfs, Jon Spangenberg   +5 more
wiley   +1 more source

Analyzing Dynamical Brain Functional Connectivity as Trajectories on Space of Covariance Matrices. [PDF]

IEEE Trans Med Imaging, 2020
Dai M, Zhang Z, Srivastava A.
europepmc   +1 more source

Generalized Dispersion Matrices for Covariance Structural Analysis [PDF]

, 1987
27 pages, 1 article*Generalized Dispersion Matrices for Covariance Structural Analysis* (Henderson, Harold V.; Searle, Shayle R.) 27 ...
Searle, Shayle R., Cornell University. Dept. of Biological Statistics and Computational Biology., Cornell University. Biometrics Unit., Henderson, Harold V., Cornell University. Dept. of Biometrics.   +4 more
core  

Gel‐Free Capture of Microvolt‐Level Neural Signatures Via a 3D Monolithic Carbon Fiber Dry Electrode

Advanced Science, EarlyView.
A compressible carbon fiber/PEDOT:PSS electrode enables gel‐free contact at hairy scalp sites. Its conductive porous framework supports low interfacial impedance and retains contact performance after repeated mechanical and sweat‐related challenges.
Haoxuan Sun, Nikolay Novitskiy, Dongwook Jang, Yixiang Liu, Shaoqi Pan, Ting Huang, Yitong Li, Huisi Yang, Leonardo Nicholas Adi Wijaya, Md Masruck Alam, Patrick CM Wong, Zhaoli Gao   +11 more
wiley   +1 more source

A Cholesky-based estimation for large-dimensional covariance matrices. [PDF]

J Appl Stat, 2020
Kang X, Xie C, Wang M.
europepmc   +1 more source

Asymptotics of estimators for structured covariance matrices

Journal of Multivariate Analysis
We show that the limiting variance of a sequence of estimators for a structured covariance matrix has a general form that appears as the variance of a scaled projection of a random matrix that is of radial type and a similar result is obtained for the corresponding sequence of estimators for the vector of variance components.
openaire   +3 more sources

Generalized Covariance Matrices for Variance Components Models [PDF]

, 1977
41 pages, 1 article*Generalized Covariance Matrices for Variance Components Models* (Searle, S. R.; Henderson, H.
Searle, S. R., Cornell University. Dept. of Biological Statistics and Computational Biology., Henderson, H. V., Cornell University. Biometrics Unit., Cornell University. Dept. of Biometrics.   +4 more
core