Matrices and Graphs: Theory and Applications to Economics - Proceedings of the Conferences

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English

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This volume discusses applications on graphs to the analysis of both causal structure of econometric models and input/output matrices; the relationships between general linear models or covariance and graphical models; the characterization of irreducible matrices through graphs; computational matters of eigenvalues of non-negative and symmetrical matrices; qualitative analysis and the sign theorem; topics on the spectrum distribution for real matrices.

This volume includes discussion of the applications of graphs to the analysis of both causal structure of econometric models and input/output matrices; the relationship between general linear models or covariance and graphical models; and the characterization of irreducible matrices through graphs.

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