The decomposition of a multivariate signal is an important tool for the analysis of measured or simulated data leading to possible detection of the relevant subspace or the sources of the signal. A ...

To address these challenges, we have presented a novel approach using the multivariate swarm-sparse decomposition method (MSSDM) for joint time–frequency (JTF) analysis and further developed a ...

Multivariate cox analysis Table 2 from our study presents the outcomes of three Cox proportional hazards models, with Model 3 being the most adjusted and, thus providing the most reliable estimates by ...