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A diffusion equation for the density of the ratio of two jointly distributed Gaussian variables and the exponential analysis problem

Academic Article
Publication Date:
2012
abstract:
It is shown that the density of the ratio of two random variables with the same
variance and joint Gaussian density satisfies a nonstationary diffusion equation. Implications of this
result for adaptive kernel density estimation of the condensed density of the generalized eigenvalues
of a random matrix pencil useful for solving the exponential analysis problem are discussed.
Iris type:
01.01 Articolo in rivista
Keywords:
parabolic equations; random matrices; kernel estimation
List of contributors:
Barone, Piero
Handle:
https://iris.cnr.it/handle/20.500.14243/238404
Published in:
SIAM JOURNAL ON SCIENTIFIC COMPUTING (PRINT)
Journal
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URL

http://www.siam.org/journals/sisc/34-2/83532.html
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