Discover how probability distribution methods can help predict stock market returns and improve investment decisions. Learn ...

Probability theory forms the mathematical backbone for quantifying uncertainty and random events, providing a rigorous language with which to describe both everyday phenomena and complex scientific ...

Stochastic volatility is the unpredictable nature of asset price volatility over time. It's a flexible alternative to the Black Scholes' constant volatility assumption.

Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...

Deepfakes are no longer a future risk. They are already influencing fraud investigations, court proceedings, and digital trust across banking, media, and government. As synthetic media becomes cheaper ...

Cheng, R. , Liu, J. , Hao, L. and Wu, D. (2026) On the Application of the Infinitesimal Method to Two Categories of Problems in College Physics. Open Journal of Social Sciences, 14, 378-389. doi: ...

This study provides a useful application of computational modelling to examine how people with chronic pain learn under uncertainty, contributing to efforts to link pain with motivational processes.

Abstract: The complex space environments, such as plasma environment, meteoroid environment, and debris environment, can all affect the operation of spacecraft, which can easily cause random pulse ...

Abstract: The distribution system state estimation (DSSE) is critical for the operation and control of electric distribution systems, but faces significant challenges due to the integration of ...

According to a recent poll by Gallup.com, 59% of Americans believe that the amount they pay in income taxes is fair. The survey was based on a sample 1017 American adults. If the pollsters talked to ...

Megaways slots are often referred to as ‘frequent win machines,’ but behind this vivid expression lies specific mathematics ...