Department of Mathematics, Statistics and Actuarial Science, Faculty of Health, Natural Resources and Applied Sciences, Namibia University of Science and Technology, Windhoek, Namibia. Food insecurity ...

The dataset used was a widely known credit card fraud detection benchmark obtained from Kaggle. It is notoriously imbalanced, ...

In addition, the TN regression model obtains inference results through multiple tensor product ... Yamauchi N, Hontani H and Yokota T (2025) Expectation-maximization alternating least squares for ...

Study objective: In social epidemiology, it is easy to compute and interpret measures of variation in multilevel linear regression, but technical difficulties exist in the case of logistic regression.

Logistic Regression is a widely used model in Machine Learning. It is used in binary classification, where output variable can only take binary values. Some real world examples where Logistic ...

Researchers at EPFL have created a mathematical model that helps explain how breaking language into sequences makes modern AI ...

Ordinal logistic regression. Alternatively, ordinal logistic regression can be used. It comes in several versions (2), and the one most frequently used is called 'proportional odds logistic regression ...