stochastic process
A stochastic process is a mathematical model representing the evolution of a system that changes randomly over time. It consists of a collection of random variables indexed by time, where each random variable represents the state of the system at a particular time. The key characteristic of a stochastic process is that future states are uncertain and depend on both the current state and the randomness of the system.
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Related Concepts (2)
Similar Concepts
- deterministic process
- stochastic
- stochastic approximation
- stochastic calculus
- stochastic control
- stochastic control theory
- stochastic differential equations
- stochastic dynamical systems
- stochastic dynamics
- stochastic modelling
- stochastic models
- stochastic networks
- stochastic optimization
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- stochastic processes in finance