GitHub

Multivariate analysis of ordinal data with missing values and latent variables

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 ...
IEEE

LiDAR-Based Optimized Normal Distribution Transform Localization on 3-D Map for Autonomous Navigation

Abstract: Autonomous navigation has become a topic of immense interest in robotics in recent years. Light detection and ranging (LiDAR) can perceive the environment in 3-D by creating the point cloud ...
GitHub

AKDE: Multivariate Adaptive Kernel Density Estimation Using Gaussian Mixture Model

AKDE provides an accurate, adaptive kernel density estimator based on the Gaussian Mixture Model for multidimensional data. This Python implementation includes automatic grid construction for ...
Frontiers

fastMETA: a fast and efficient tool for multivariate meta-analysis of GWAS

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 ...
IEEE

DIMformer: A Dynamic Inverted Transformer with Mamba-Cross-Variable Linear Attention for Multivariate Time Series Forecasting

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