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 ...
Scientific Research Publishing

Anomaly Detection in Selected Aerosol Optical Properties and Associated Climate Variables Using a Multivariate Hidden Markov Model: A Case Study over Kenya ()

1 Department of Science, Technology and Engineering, Kibabii University, Bungoma, Kenya. 2 Department of Renewable Energy and Technology, Turkana University College, Lodwar, Kenya. Understanding ...
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

Univariate and multivariate analysis of genetic diversity in common bean

Genetic diversity is important for conservation and genetic improvement of common beans. This study aimed to estimate the genetic diversity among common bean genotypes from the Embrapa germplasm ...
Frontiers

Degradation and life prediction of mechanical equipment based on multivariate stochastic process

Introduction: Accurately predicting the remaining mechanical equipment is of great significance for ensuring the safe operation of the equipment and improving economic efficiency. Methods: To ...