Modern science and industry rely on computational models for simulation,...
Non-stationary source separation is a well-established branch of blind s...
Multivariate measurements at irregularly-spaced points and their analysi...
Multivariate measurements taken at different spatial locations occur
fre...
Regional data analysis is concerned with the analysis and modeling of
me...
Temporal Blind Source Separation (TBSS) is used to obtain the true,
unde...
We assume a spatial blind source separation model in which the observed
...
Sliced inverse regression is one of the most popular sufficient dimensio...
Compositional data represent a specific family of multivariate data, whe...