Discover how multivariate models use multiple variables for investment forecasting, risk analysis, and decision-making in finance. Ideal for portfolio management.

The works of R.A. Fischer, S.N. Roy, and the likes on multivariate analysis in the 20th century have laid the foundation for the now popular statistical analytical approach that helps organisations in ...

EEG is an indicator of neural activity and is used to study complex brain dynamic processes, such as cognitive processes, memory, and the recognition of emotion (Lin et al., 2016; Soleymani et al., ...

Abstract: Time-varying directed electroencephalography (EEG) network is the potential tool for studying the dynamical causality among brain areas at a millisecond level; which conduces to ...

Quantification of the simultaneous contributions of loci to multiple traits, a phenomenon called pleiotropy, is facilitated by the increased availability of high-throughput genotypic and phenotypic ...

Abstract: In practical engineering applications, the multivariate signal contains more fault feature information than the single-channel signal. How to realize synchronous extraction of fault features ...