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20142025
most citedPractical Implementation of an End-to-End Methodology for SPC of 3-D Part Geometry: A Case Study

2 citations · 5 across the 7 of their papers we have counts for

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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…