全部文献期刊会议图书|学者科研项目
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作者:Riad Jarjour , Kung-Sik Chan
来源:[J].Journal of Econometrics(IF 1.71), 2020, Vol.216 (1), pp.137-150
摘要:Abstract(#br)We introduce the concept of angular correlation for estimating the instantaneous correlation matrix with a single multivariate realization. The proposed estimator is generally a positive definite correlation matrix and robust in that for bivariate normal data, the sa...
作者:Sheng-tong Sun , Pei-yi Wu
来源:[J].Chinese Journal of Polymer Science(IF 1.27), 2017, Vol.35 (6), pp.700-712Springer
摘要:Generalized two-dimensional correlation spectroscopy (2DCOS) and its derivate technique, perturbation correlation moving window (PCMW), have found great potential in studying a series of physico-chemical phenomena in stimuli-responsive polymeric systems. By spreading peaks along ...
作者:Feng Gao , J. Philip Miller , Chengjie Xiong ...
来源:[J].BMC Medical Research Methodology(IF 2.211), 2017, Vol.17 (1)Springer
摘要:Estimating correlation coefficients among outcomes is one of the most important analytical tasks in epidemiological and clinical research. Availability of multivariate longitudinal data presents a unique opportunity to assess joint evolution of outcomes over time. Bivariate linea...
作者:Clare Pacini , James W. Ajioka , Gos Micklem
来源:[J].BMC Bioinformatics(IF 3.024), 2017, Vol.18 (1)Springer
摘要:Correlation matrices are important in inferring relationships and networks between regulatory or signalling elements in biological systems. With currently available technology sample sizes for experiments are typically small, meaning that these correlations can be difficult to es...
作者:Suman Kundu , Madhu Mazumdar , Bart Ferket
来源:[J].BMC Medical Research Methodology(IF 2.211), 2017, Vol.17 (1)Springer
摘要:... The impact of heterogeneity in correlation among predictors has however been under investigated. We sought to evaluate how correlation among predictors affects the AUC in development and external populations.
作者:Kosuke Yoshida , Junichiro Yoshimoto , Kenji Doya
来源:[J].BMC Bioinformatics(IF 3.024), 2017, Vol.18 (1)Springer
摘要:... Canonical correlation analysis (CCA) is a statistical tool for finding linear associations between different types of information. Previous extensions of CCA used to capture nonlinear associations, such as kernel CCA, did not allow feature selection or capturing of multiple c...
作者:Luis Moya , Abdul Muhari , Bruno Adriano ...
来源:[J].Remote Sensing of Environment(IF 5.103), 2020, Vol.242
摘要:... The proposed procedure is based on the use of phase correlation, which shows different patterns in changed and non-changed areas. A careful study of the properties of phase correlation suggests that it is robust against misalignments between images. However, previous studie...
作者:Benhong Peng , Yuanyuan Wang , Guo Wei
来源:[J].Energy Policy(IF 2.743), 2020, Vol.140
摘要:Abstract(#br)This study explores a spatial correlation network of regional energy eco-efficiency to examine the existence of such a correlation from the new perspective of networking. Firstly, by utilizing the panel data of 13 prefecture-level cities in Jiangsu Province from 2008...
作者:Lei Wu , Haw Yen , Jeffrey G. Arnold ...
来源:[J].Science of the Total Environment(IF 3.258), 2020
摘要:Abstract(#br)Temporal scale is an important keyword in environmental hydrology but little information is available in the relationship between correlation and time variability degree of hydro-environmental variables at a watershed scale, which makes it difficult to design effect...
作者:D.G. Bussandri , T.M. Osán , A.P. Majtey ...
来源:[J].Physica A: Statistical Mechanics and its Applications(IF 1.676), 2020, Vol.545
摘要:Abstract(#br)The main aim of this work is to investigate the relation between the freezing of Quantum Discord and the behavior of the actual quantum correlations present in bipartite quantum states. In order to accomplish this objective, we use first the Fano representation of tw...

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