Worms is becoming a hotspot for predictive high-end algorithm development: The deep-tech company mAInthink.ai presents ...

Measures of Multivariate Kurtosis In many applications, the manifest variables are not even approximately multivariate normal. If this happens to be the case with your data set, the default ...

Learn how to build a multivariate linear regression model step by step—no libraries, just pure C++ logic!

Multivariate analysis techniques may be used for several purposes, such as dimension reduction, clustering, or classification. The primary goal of this short course is to help researchers who want to ...

A multivariate extension of the exponentially weighted moving average (EWMA) control chart is presented, and guidelines given for designing this easy-to-implement multivariate procedure. A comparison ...

The idea of this paper is to use the multivariate normal inverse Gaussian (MNIG) distribution as the conditional distribution for a multivariate GARCH model. The MNIG distribution belongs to a very ...