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Linear covariance analysis for autonomous space rendezvous missions [PDF]
, 2023 reservedThis thesis presents the development process of a mission analysis tool using Linear Covariance Analysis applied to space rendezvous missions. The work has been conducted in the company Thales Alenia Space.
BATTAGLIA, GIACOMO
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Frontiers in Neuroinformatics, 2016 In this article we introduce Pyrcca, an open-source Python package for performing canonical correlation analysis (CCA). CCA is a multivariate analysis method for identifying relationships between sets of variables.
Natalia Y Bilenko +2 more
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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
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Analysis of covariance and standardization as instances of prediction [PDF]
, 1982 In this paper, prediction provides the basis for unifying the procedures of covariance adjustment and standardization. Analysis of covariance is a method of forming predictions from a linear model; it is used when qualitative effects are to be studied ...
Nelder, J. A., Lane, P. W.
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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 +2 more
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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.
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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
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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 +3 more
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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 +2 more
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