3 citations · 3 across the 5 of their papers we have counts for
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Test of the Latent Dimension of a Spatial Blind Source Separation Model
Christoph Muehlmann, François Bachoc, Klaus Nordhausen +1
We assume a spatial blind source separation model in which the observed multivariate spatial data is a linear mixture of latent spatially uncorrelated Gaussian random fields contai…
On Cokriging, Neural Networks, and Spatial Blind Source Separation for Multivariate Spatial Prediction
Christoph Muehlmann, Klaus Nordhausen, Mengxi Yi
Multivariate measurements taken at irregularly sampled locations are a common form of data, for example in geochemical analysis of soil. In practical considerations predictions of…
Breakdown points of penalized and hybrid M-estimators of covariance
David E. Tyler, Mengxi Yi
We introduce a class of hybrid M-estimators of multivariate scatter which, analogous to the popular spatial sign covariance matrix (SSCM), possess high breakdown points. We also sh…