The well-known error estimates for the numerical computation of eigenvalues of symmetric integral equations are extended to the computation of the eigenvectors. The ...
SIAM Journal on Applied Mathematics, Vol. 78, No. 2 (2018), pp. 853-876 (24 pages) Eigenvector-based centrality measures are among the most popular centrality measures in network science. The ...
When a regressor is nearly a linear combination of other regressors in the model, the affected estimates are unstable and have high standard errors. This problem is called collinearity or ...
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