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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...
High-Dimensional Gaussian Graphical Model Selection: Tractable Graph Families
Gaussian graphical model selection high-dimensional learning local-separation property walk-summability
2011/9/29
Abstract: We consider the problem of high-dimensional Gaussian graphical model selection. We identify a set of graphs for which an efficient estimation algorithm exists, and this algorithm is based on...