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: The global financial landscape is increasingly becoming interconnected, with financial markets exhibiting complex interdependencies. This increases the possibility of market risk spreading ...
1 Department of Science, Technology and Engineering, Kibabii University, Bungoma, Kenya. 2 Department of Renewable Energy and Technology, Turkana University College, Lodwar, Kenya. Understanding ...
To estimate the genetic diversity among the genotypes of a germplasm collection, a combined analysis of qualitative and quantitative variables was performed. The objective was to promote the ...
Abstract: Permutation optimization is essential in various fields, such as task scheduling, path planning. Considering the exploration ability of Estimation of Distribution Algorithms (EDAs), a ...
The Multivariate Core Trend inflation rate for March accelerated to 3.0% year-over-year, the worst reading since February 2024, according to the New York Fed today. The re-acceleration was driven ...
Sankhyā: The Indian Journal of Statistics, Series A (2008-), Vol. 83, No. 1 (February 2021), pp. 187-205 (19 pages) The purpose of this study is to characterize multivariate generalized hyperbolic ...
Katie has a PhD in maths, specializing in the intersection of dynamical systems and number theory. She reports on topics from maths and history to society and animals. Katie has a PhD in maths, ...
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 ...