Stochastic models are mathematical frameworks that incorporate randomness and uncertainty, allowing for the simulation of complex biological systems over time. These models help in understanding how unpredictable factors influence biological processes, making them essential for modeling phenomena like population dynamics, disease spread, and biochemical reactions. By integrating probabilistic elements, stochastic models provide insights that deterministic models may overlook, particularly in systems influenced by inherent variability.
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