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 ...
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 ...
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