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 ...
Frontiers

Application of a joint multivariate probit model for mixed outcomes of CD4 cell count and tuberculosis using a Bayesian latent variable approach in KwaZulu-Natal

HIV and tuberculosis (TB) remain closely linked public health threats in sub-Saharan Africa, with South Africa bearing the highest burden of both diseases. In KwaZulu-Natal, where HIV prevalence peaks ...
Scientific Research Publishing

Machine Learning-Based Outlier Detection in Long-Term Climate Data: Evidence from Burkina Faso’s Synoptic Network ()

Laboratoire de Matériaux et Environnement (LAME), Université Joseph Ki-Zerbo, Ouagadougou, Burkina Faso. In recent decades, the impact of climate change on natural resources has increased. However, ...
IEEE

Variable-Dynamic Multivariate Time Series Forecasting for IoT Systems

Abstract: The past decade has witnessed the success of deep learning-based multivariate time series forecasting in Internet of Things (IoT) systems. However, dynamic variable correlation remains a ...
IEEE

Fisher Discriminant Analysis for Extracting Interpretable Phenological Information From Multivariate Time Series Data

Abstract: This article explores the use of Fisher discriminant analysis (FDA) as a method for extracting time-resolved information from multivariate environmental time series data. FDA is useful ...
chromatographyonline

Multivariate Design of Experiments for Gas Chromatographic Analysis

Recent advances in green chemistry have made multivariate experimental design popular in sample preparation development. This approach helps reduce the number of measurements and data for evaluation ...
SciELO

Designing an Index for Multi-location Yield Stability Analysis Involving Univariate and Multivariate Methods in Rice ( Oryza sativa L.)

Under different environmental conditions, crop yields differ primarily due to G and E interactions. The Global Rice Array (GRA-IV) is IRRI's fourth flagship project to identify climate-resilient rice ...
Scientific Research Publishing

High Dimension Multivariate Data Analysis for Small Group Samples of Chemical Volatile Profiles of African Nightshade Species ()

1 International Centre of Insect Physiology and Ecology (ICIPE), Nairobi, Kenya. 2 Department of Horticulture and Food Security, Jomo Kenyatta University of Agriculture and Technology (JKUAT), Nairobi ...