How does noise affect the Fischer Black model?
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Noise has different effects on different models. In the Goldbeter model of enzymatic reaction, noise leads to a transition from low-amplitude stochastic oscillations to large-amplitude spike oscillations . In the BERT model for NLP tasks, noise in the data, such as spelling mistakes and typos, significantly degrades the performance of BERT in tasks like sentiment analysis and textual similarity . In the models of spiny dendrites, noise intensity affects the speed of wave propagation, with the speed decreasing in one model and increasing in another . In the stochastic Ginzburg-Landau models, the one-particle mass is less sensitive to noise than the two-particle bound state, and the difference between the masses becomes smaller as noise strength increases . There is no mention of the Fischer Black model in the provided abstracts.
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