Complex Pearson Correlation Coefficient for EEG Connectivity Analysis [PDF]
Sensors, 2022 In the background of all human thinking—acting and reacting are sets of connections between different neurons or groups of neurons. We studied and evaluated these connections using electroencephalography (EEG) brain signals. In this paper, we propose the
Zoran Šverko +3 more
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Regression models of Pearson correlation coefficient
Statistical Theory and Related Fields, 2023 We propose two simple regression models of Pearson correlation coefficient of two normal responses or binary responses to assess the effect of covariates of interest. Likelihood-based inference is established to estimate the regression coefficients, upon
Abdisa G. Dufera, Tiantian Liu, Jin Xu
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Optimizing autofocus under multispectral lighting via enhanced SIFT and Pearson correlation coefficient. [PDF]
PLoS ONEThe use of inexpensive black and white cameras in conjunction with multi-band lighting offers the highest accuracy and cost benefits among the several techniques for accomplishing multispectral images.
Chao Ma +6 more
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Modified Pearson correlation coefficient for two-color imaging in spherocylindrical cells [PDF]
BMC Bioinformatics, 2018 The revolution in fluorescence microscopy enables sub-diffraction-limit (“superresolution”) localization of hundreds or thousands of copies of two differently labeled proteins in the same live cell.
Sonisilpa Mohapatra, James C. Weisshaar
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Joint geoacoustic inversion based on Pearson correlation coefficient constraints [PDF]
JASA Express Letters, 2023 This Letter proposes a joint geoacoustic inversion method for modal group velocity dispersion and amplitudes of waveform by incorporating a Pearson correlation constraint. Numerical simulations show that this joint inversion leads to improved geoacoustic
Jiaqi Ding, Xiaofeng Zhao, Pinglv Yang
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Analyzing boron oxide networks through Shannon entropy and Pearson correlation coefficient [PDF]
Scientific ReportsIn the current age of chemical science, chemical graph theory has significantly advanced our understanding of the characteristics of chemical compounds.
Rongbing Huang +4 more
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On the Use of the Pearson Correlation Coefficient for Model Evaluation in Genome-Wide Prediction [PDF]
Frontiers in Genetics, 2019 The large number of markers in genome-wide prediction demands the use of methods with regularization and model comparison based on some hold-out test prediction error measure.
Patrik Waldmann
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Protocol Reverse Analysis of Ethernet for Control Automation Technology Based on Sequence Alignment and Pearson Correlation Coefficient [PDF]
SensorsThis study presents a novel algorithm for protocol reverse analysis of EtherCAT. The algorithm combines sequence alignment and the Pearson correlation coefficient.
Xiaopeng Wang +4 more
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Multiple Ant Colony Optimization Based on Pearson Correlation Coefficient
IEEE Access, 2019 Ant Colony Optimization algorithms have been successfully applied to solve the Traveling Salesman Problem (TSP). However, they still have a tendency to fall into local optima, mainly resulting from poor diversity, especially in those TSPs with a lot of ...
Hongwei Zhu, Xiaoming You, Sheng Liu
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Dependent Evidence Combination Based on Shearman Coefficient and Pearson Coefficient
IEEE Access, 2018 Dempster-Shafer evidence theory is efficient to deal with uncertain information. One assumption of evidence theory is that the source of information should be independent when combined by Dempster's rule for evidence combination.
Honghui Xu, Yong Deng
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