2. THE MULTIVARIATE MAT RN MODEL As noted, we discuss conditions on the multivariate Mat rn model that result in a valid specification for the cross-covariance functions in (4), ranging from a ...
Tito A. Mijares, The Moments of Elementary Symmetric Functions of the Roots of a Matrix in Multivariate Analysis, The Annals of Mathematical Statistics, Vol. 32, No. 4 (Dec., 1961), pp. 1152-1160 ...
This Python-module computes generating functions for the number of some special multivariate polynomials over finite fields. The accompanying paper [GVZ13] also ...
Functional connectivity analyses are typically based on matrices containing bivariate measures of covariability, such as correlations. Although this has been a fruitful approach, it may not be the ...
1 Institute of Mathematics, University of Lübeck, Lübeck, Germany 2 Institute of Mathematics, National Academy of Sciences of Ukraine, Kyiv, Ukraine This paper ...
Abstract: This paper reconstructs multivariate functions from scattered data by a new multiscale technique. The reconstruction uses support vector regression model by positive definite reproducing ...
Recent advances in estimation techniques have underscored the growing importance of shrinkage estimation and balanced loss functions in the analysis of multivariate normal distributions. These ...
1 Faculty of Sciences of Bizerte, Carthage University, Tunis, Tunisia. 2 Faculty of Economics and Management of Nabeul, Carthage University, Tunis, Tunisia. This paper deals with the global ...
There was an error while loading. Please reload this page. This repository contains code associated with the author's Master's Thesis, "Multivariate Limit Theorems ...
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