ABSTRACT: The global financial landscape is increasingly becoming interconnected, with financial markets exhibiting complex interdependencies. This increases the possibility of market risk spreading ...

School of Food Science and Engineering, South China University of Technology, Guangzhou 510640, P. R. China ...

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 ...

The LHS indicates that g is a function of D variables whereas the RHS indicates that g is a function of only 1 variable.

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 ...

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 ...

Monitoring the manufacturing process becomes a challenging task with a huge number of variables in traditional multivariate statistical process control (MSPC) methods. However, the rich information is ...

Abstract: The paper introduces an intraday rolling scheduling model for power distribution networks, leveraging conditional multivariate normal distribution-based ...