Nature

Shrinkage Estimation and Balanced Loss Functions in Multivariate Normal Distribution

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 ...

Scientists Create a “Periodic Table” for Artificial Intelligence

Researchers have proposed a unifying mathematical framework that helps explain why many successful multimodal AI systems work ...
IEEE

Imagery Speech Classification Based on General Successive Multivariate Variational Mode Decomposition With Different Objective Functions Having Different Weights

Abstract: The imagery speech (IS) is the speech that the human beings are thinking in their brain. A brain computer interface (BCI) system is employed to translate the speech thinking in the brain to ...
JSTOR Daily

Mat rn Cross-Covariance Functions for

We introduce a flexible parametric family of matrix-valued covariance functions for multivariate spatial random fields, where each con stituent component is a Mat rn process. The model parameters are ...
JSTOR Daily

The Moments of Elementary Symmetric Functions of the Roots of a Matrix in Multivariate Analysis

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 ...