stochastic processes
Stochastic processes refer to mathematical models that describe the evolution of random variables or phenomena over time. They involve probabilistic elements, where the future outcomes are not completely determined, but can be predicted based on the past and current information. These processes are used to study and analyze various systems in fields like statistics, finance, physics, and engineering.
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Related Concepts (32)
- aleatoric
- aleatoric uncertainty
- birth-death processes
- branching processes
- brownian motion
- chaos theory
- chaotic motion
- chaotic systems
- complex dynamical systems
- complex dynamics
- diffusion processes
- dissipation-driven adaptation
- dynamical systems
- dynamical systems theory
- gaussian processes
- lyapunov exponents
- lévy processes
- markov chains
- markov decision processes
- markov random fields
- martingales
- poisson processes
- queueing theory
- random matrices
- random walks
- randomness
- renewal theory
- stochastic calculus
- stochastic optimization
- stochastic parrot
- stochastic volatility models
- stopping times
Similar Concepts
- deterministic process
- deterministic processes
- random processes
- stochastic
- stochastic control
- stochastic control theory
- stochastic differential equations
- stochastic dynamical systems
- stochastic dynamics
- stochastic geometry
- stochastic modelling
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- stochastic networks
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