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Researchers in China have achieved a major leap in quantum photonics by generating a massive 60-mode entangled cluster state ...
The authors introduce a new algorithm for determining the minimal anisotropic Gaussian noise required to satisfy mutual ...
The estimated covariance matrix of the parameter estimates is computed as the inverse Hessian matrix, and for unconstrained problems it should be positive definite. If the final parameter estimates ...
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Assessing synchronized activity in the human brain through frequency-dependent covariance analysisIn particular, they used a "covariance matrix" to flesh out patterns within the data using a statistical technique called principal-component analysis (PCA). PCA is a widely used technique to ...
where nused is the number of non-missing observations and np is the number of estimable parameters. The standard error reported for the parameters is the sqrt of the ...
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