Results 21 to 30 of about 22,359,362 (203)

Reaction Cross Section and Covariance Evaluation of 56Fe(n,p)56Mn below 35 MeV

Yuanzineng kexue jishu, 2022
Neutron induced reaction cross sections play an important role in nuclear science and technology research, such as national defense, nuclear energy construction and development, nuclear medicine, radiation protection and nuclear safety.
LI Xiaojun;LAN Changlin;ZHANG Yue;YANG XianlinZHANG Zhi;SUN Xiaodong
doaj  

Inferring single neuron properties in conductance-based balanced networks

Frontiers in Computational Neuroscience, 2011
Balanced states in large networks are a usual hypothesis for explaining the variability of neural activity in cortical systems. These states give rise to a generic behavior in which the individual dynamics of the neurons is almost irrelevant.
Germán eMato, Roman eRossi Pool
doaj   +1 more source

A Multivariate Analysis of Covariance [PDF]

Biometrics, 1958
of treatment effects increased with treatment duration, and because one of the variables which originally had been intended for use as a concomitant control was affected by treatments. No satisfactory form of analysis for dealing with these complications was reached, and the problems raised seem worth re-examining.
openaire   +1 more source

A cautionary note on the use of the Analysis of Covariance (ANCOVA) in classification designs with and without within-subject factors

Frontiers in Psychology, 2015
A number of statistical textbooks recommend using an analysis of covariance (ANCOVA) to control for the effects of extraneous factors that might influence the dependent measure of interest. However, it is not generally recognized that serious problems of
Bruce A Schneider, Meital eAvivi-Reich, Mindaugas eMozuraitis   +2 more
doaj   +1 more source

BCCT: A GUI Toolkit for Brain Structural Covariance Connectivity Analysis on MATLAB

Frontiers in Human Neuroscience, 2021
Brain structural covariance network (SCN) can delineate the brain synchronized alterations in a long-range time period. It has been used in the research of cognition or neuropsychiatric disorders.
Qiang Xu, Qiang Xu, Qirui Zhang, Gaoping Liu, Xi-jian Dai, Xi-jian Dai, Xinyu Xie, Jingru Hao, Qianqian Yu, Ruoting Liu, Zixuan Zhang, Yulu Ye, Rongfeng Qi, Long Jiang Zhang, Zhiqiang Zhang, Zhiqiang Zhang, Guangming Lu, Guangming Lu, Guangming Lu   +18 more
doaj   +1 more source

SHrinkage Covariance Estimation Incorporating Prior Biological Knowledge with Applications to High-Dimensional Data [PDF]

, 2011
In ``-omic data'' analysis, information on the structure of covariates are broadly available either from public databases describing gene regulation processes and functional groups such as the Kyoto encyclopedia of genes and genomes (KEGG), or from ...
Tenenhaus, Arthur, Boulesteix, Anne-Laure, Guillemot, Vincent, Jelizarow, Monika   +3 more
core   +1 more source

A Network-Based Analysis for Evaluating Conditional Covariance Estimates

Mathematics, 2023
The modeling and forecasting of dynamically varying covariances has received a great deal of attention in the literature. The two most widely used conditional covariances and correlations models are BEKK and the DCC.
Carlo Drago, Andrea Scozzari
doaj   +1 more source

Robust covariance estimation for data fusion from multiple sensors [PDF]

, 2011
This paper addresses the robust estimation of a covariance matrix to express uncertainty when fusing information from multiple sensors. This is a problem of interest in multiple domains and applications, namely, in robotics.
Lazarus, Samuel B., Samuel B. Lazarus, Tsourdos, Antonios, Antonios Tsourdos, João Sequeira, Sequeira, João   +5 more
core   +1 more source

Analysis of the covariance matrix in FWI through density of covariance maps

CT&F Ciencia, Tecnología & Futuro, 2020
Full waveform inversion (FWI) is a tool for the inversion of seismic data. There are several sources of uncertainty in the results provided by FWI. The quantification of such uncertainties has been studied through the resolution matrix (Res), which rests
Anyeres Neider Jimenez, Juan Carlos Muñoz Cuartas, Sheryl Avendaño, Leonardo Gómez Bernal   +3 more
doaj   +1 more source

IPCO: Inference of Pathways from Co-variance analysis

BMC Bioinformatics, 2020
Background Key aspects of microbiome research are the accurate identification of taxa and the profiling of their functionality. Amplicon profiling based on the 16S ribosomal DNA sequence is a ubiquitous technique to identify and profile the abundance of ...
Mrinmoy Das, Tarini Shankar Ghosh, Ian B. Jeffery   +2 more
doaj   +1 more source