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Gemini: Graph estimation with matrix variate normal instances
Graphical model selection covarianc eestimation inverse covariance estimation Graphical Lasso,Matrix variate normal distribution
2012/11/23
Undirected graphs can be used to describe matrix variate distributions. In this paper, we develop new methods for estimating the graphical structures and underlying parameters, namely, the row and col...
The matrix Lax representation of the generalized Riemann equations and its conservation Laws
generalized Riemann equation Saxton equation Lax representation
2011/7/5
It is shown that the generalized Riemann equation is equivalent with the
multicomponent generalization of the Hunter - Saxton equation. New matrix
and scalar Lax representation is presented for this...
On the maximal size of Large-Average and ANOVA-fit Submatrices in a Gaussian Random Matrix
analysis of variance data mining Gaussian random matrix large average sub-matrix random matrix theory
2010/11/29
We investigate the maximal size of distinguished submatrices of a Gaussian random matrix. Of interest are submatrices whose entries have average greater than or equal to a positive constant, and subma...