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stat.ML2016★ 1 cited
Generalized Sparse Precision Matrix Selection for Fitting Multivariate Gaussian Random Fields to Large Data Sets
Sam Davanloo Tajbakhsh, Necdet Serhat Aybat, Enrique del Castillo
We present a new method for estimating multivariate, second-order stationary Gaussian Random Field (GRF) models based on the Sparse Precision matrix Selection (SPS) algorithm, prop…
stat.ML2014★ 2 cited
On the Theoretical Guarantees for Parameter Estimation of Gaussian Random Field Models: A Sparse Precision Matrix Approach
Sam Davanloo Tajbakhsh, Necdet Serhat Aybat, Enrique Del Castillo
Iterative methods for fitting a Gaussian Random Field (GRF) model via maximum likelihood (ML) estimation requires solving a nonconvex optimization problem. The problem is aggravate…