Chaos Theory
Stochastic modeling is a statistical method used to predict and analyze systems that exhibit random behavior or noise. This approach is particularly useful in understanding complex systems where uncertainty and variability play significant roles, allowing researchers to account for the inherent randomness in data and processes. It connects deeply with time series analysis by helping to identify patterns, trends, and potential future states in chaotic systems that may seem unpredictable at first glance.
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