Satunnaisprosesseista
Satunnaisprosesseista, also known as stochastic processes, are mathematical models used to describe systems or phenomena that evolve over time in a probabilistic manner. Unlike deterministic processes, which follow a fixed rule, stochastic processes incorporate randomness, making them suitable for modeling real-world phenomena where uncertainty is present.
Stochastic processes are fundamental in various fields, including physics, engineering, economics, and computer science. They are
There are different types of stochastic processes, each with its own characteristics and applications. Some common
1. Markov processes: These processes have the Markov property, meaning the future state depends only on the
2. Poisson processes: These processes model the occurrence of events that happen independently of each other
3. Gaussian processes: These processes are characterized by a Gaussian probability distribution and are widely used
Stochastic processes are analyzed using various mathematical tools, including probability theory, calculus, and linear algebra. They