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Modeling Massive Highly Multivariate Nonstationary Spatial Data with the Basis Graphical Lasso
AbstractWe propose a new modeling framework for highly multivariate spatial processes that synthesizes ideas from recent multiscale and spectral approaches with graphical models. The basis graphical lasso writes a univariate Gaussian process as a linear combination of basis functions weighted with entries of a Gaussian graphical vector whose graph is …