Stochastic models have become indispensable tools for understanding growth dynamics in complex systems. By incorporating randomness and uncertainty into the modelling framework, these methods provide ...

Stochastic Model Predictive Control (SMPC) for linear systems is an advanced control framework that blends systematic optimisation with probabilistic forecasting. By explicitly accounting for ...

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

Accurate forecasting of epidemic scenarios is critical to implementing effective public health intervention policies. Researchers used dynamical stochastic modeling techniques to reveal that infection ...

Bernice Asantewaa Kyere on modeling that immediately caught my attention. The paper titled “A Critical Examination of Transformational Leadership in Implementing Flipped Classrooms for Mathematics ...