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Multi-way Gaussian Graphical Models with Application to Multivariate Lattice Data

Multi-way Gaussian Graphical Models with Application to Multivariate Lattice Data

This video was recorded at 14th International Conference on Artificial Intelligence and Statistics (AISTATS), Ft. Lauderdale 2011. The literature on Gaussian graphical models (GGMs) contains two equally rich and equally significant domains of research efforts and interests. The first research domain relates to the problem of graph determination. That is, the underlying graph is unknown and needs to be inferred from the data. The second research domain dominates the applications in spatial epidemiology. In this context GGMs are typically referred to as Gaussian Markov random fields (GMRFs). Here the underlying graph is assumed to be known: the vertices correspond to geographical areas, while the edges are associated with areas that are considered to be neighbors of each other (e.g., if they... Show More

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