On the Theoretical Guarantees for Parameter Estimation of Gaussian Random Field Models: A Sparse Precision Matrix Approach

21 May 2014

Papers citing "On the Theoretical Guarantees for Parameter Estimation of Gaussian Random Field Models: A Sparse Precision Matrix Approach"

3 / 3 papers shown

Title
Unifying Compactly Supported and Matern Covariance Functions in Spatial Statistics M. Bevilacqua Christian Caamaño-Carrillo Emilio Porcu 14 27 0 06 Aug 2020
Minimizing Negative Transfer of Knowledge in Multivariate Gaussian Processes: A Scalable and Regularized Approach Raed Al Kontar Garvesh Raskutti Shiyu Zhou 14 22 0 31 Jan 2019
Local Gaussian process approximation for large computer experiments R. Gramacy D. Apley 127 391 0 02 Mar 2013