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.
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
Published in: