Several examples of multivariate techniques implemented in R, Python, and SAS. Multivariate concrete dataset retrieved from https://archive.ics.uci.edu/ml/datasets ...

Abstract: Accurately capturing the spatial correlations of traffic network significantly benefits short-term traffic forecasting. Some existing works represent spatial correlations in a simple ...

When you first start investing, it can be difficult enough to understand what your investments are and how they work — let alone how they interact with one another. But it's helpful to understand the ...

The GSDGM and MTESS Toolbox is a powerful tool for surrogate data generation and multivariate time-series similarity analysis. One GSDGM algorithm has been implemented to generate group surrogate data ...

Cognitive processes engage multiple interacting brain regions. To study these interactions, researchers analyze neural data with “connectivity” methods, that capture the temporal co-variation between ...

For the case where the multivariate normal population does not have null correlations, we give the exact expression of the distribution of the sample matrix of correlations R, with the sample ...

The purpose of this research is to derive a new algorithm for obtaining a realistic implied correlation matrix. One contemporary method has a limited scope from its simplified assumption of ...