Halva—‘grapHical Analysis with Latent VAriables’—is a Python package dedicated to statistical analysis of multivariate ordinal data, designed specifically to handle missing values and latent variables ...

Abstract: Data association and filter robustness are two key problems for general multiple target tracking. Classic data association methods have high computational complexity, and the gold standard ...

1 Department of Computer Science and Biomedical Informatics, University of Thessaly, Lamia, Greece 2 Department of Mathematics, University of Thessaly, Lamia, Greece Genome-Wide Association Studies ...

Abstract: Multivariate time series prediction has significant practical applications in the fields of finance, electricity and transportation. However, due to the characteristics of high ...