The present research work introduces a novel computational approach to the study of a nonlinear stochastic epidemic model for skin sores and also a deterministic model. Theoretical analyzing leads to ...

This study systematically investigates intermittent large-amplitude oscillations across all three state variables of the memristive Hindmarsh–Rose neuron model. The large-amplitude excursions, arising ...

For stochastic models that can generate different outputs from identical inputs, property-based testing helps identify which ...

Traditional models for analyzing microbial communities often rely on average microbial abundance over time. While these models can predict temporal changes effectively, they often fail to capture the ...

Stochastic dynamical systems arise in many scientific fields, such as asset prices in financial markets, neural activity in the brain, or the spread of infectious diseases. Petar Jovanovski's Ph.D.

As global financial markets become increasingly interconnected, accurately modelling correlations between assets is essential. Traditional models often assume static correlations, which fail to ...

This course is compulsory on the MSc in Operations Research & Analytics. This course is not available as an outside option to students on other programmes. The course covers theory including the ...

The whole picture of Mathematical Modeling is systematically and thoroughly explained in this text for undergraduate and graduate students of mathematics, engineering, economics, finance, biology, ...