Linear regression, also called simple regression, is one of the most common techniques of regression analysis. Multiple regression is a broader class of regression analysis, which encompasses both ...

is a measure of the amount of multicollinearity in regression analysis. Multicollinearity exists when there is a correlation between multiple independent variables in a multiple regression model.

The financial sector is heavily data driven. Every day, trillions of data is generated by the global financial system; these ...

Tick populations have remained stable over the past two decades, but the percentage of ticks with dangerous pathogens has ...

AI advancements, particularly Large Language Models (LLMs) and other generative model types, unlock opportunities to develop ...

This study provides a valuable extension of credibility-based learning research by showing how feedback reliability can distort reward-learning biases in a disinformation-like bandit task. Although ...

Higher Education, Sustainable Career Development, Sustainable Career Resistance to Change, Psychological Well-Being Share and Cite: Argyropoulou, K. , Karavia, A.S. and Chaidemenaki, O. (2025) ...