Stochastic modelling of time series involves the representation of sequential observations as realisations of underlying random processes. These approaches capture both the deterministic structure and ...

Queueing theory and stochastic models provide a mathematical framework for analysing systems in which tasks, customers or data packets arrive randomly and await service. Originating with simple single ...

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 ...