Data, Inference, and Decisions
Stochastic processes are mathematical objects used to describe systems that evolve over time with randomness involved. They are essential in understanding how certain variables change in unpredictable ways, often modeled through sequences of random events. This concept is widely applied across various fields to analyze and predict behaviors in systems where uncertainty is a key factor.
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