Understanding Multivariate Models: Forecasting Investment Outcomes

Discover how multivariate models use multiple variables for investment forecasting, risk analysis, and decision-making in ...
IEEE

Mulr4FL: Effective Fault Localization of Evolution Software Based on Multivariate Logistic Regression Model

Abstract: Fault localization is indeed tedious and costly work during software maintenance. Studies indicate that combining both structural features and behavior characteristics of programs can be ...
IEEE

An Optimised Multivariable Regression Model for Predictive Analysis of Diabetic Disease Progression

Abstract: With the advent of smart systems and smart IoT network all over the world leading to enormous amount of data generation; the right analysis and decision making based on the relevant data ...
EurekAlert!

Study uncovers molecular mechanism of Lobelia chinensis Lour in suppressing liver cancer

Liver cancer remains a significant global health challenge with limited effective treatments. A new study published in Med ...
jnis.bmj

Statistical principles in neurointervention part 2. Multivariable analysis: generalized linear models, modification, confounding, and mediation

Neurointervention is a highly specialized area of medicine and, as such, neurointerventional research studies are often more challenging to conduct, require large, multicenter efforts and longer study ...
Frontiers

Hyperspectral inversion model of ginkgo leaf yield prediction based on machine learning

Introduction: The yield of ginkgo biloba leaves serves as a critical indicator for assessing their growth and health status. However, current assessment methods primarily rely on manual harvesting and ...