Stochastic process etc.

A simple two-state Markov chain (πηγή: Wikipedia)

Stochastic process

In probability theory, a stochastic process (pronunciation: /stoʊˈkæstɪk/), or sometimes random process, is the counterpart to a deterministic process (or deterministic system). Instead of dealing with only one possible reality of how the process might evolve under time (as is the case, for example, for solutions of an ordinary differential equation), in a stochastic or random process there is some indeterminacy in its future evolution described by probability distributions. This means that even if the initial condition (or starting point) is known, there are many possibilities the process might go to, but some paths may be more probable and others less so.

Περισσότερα στη Wikipedia: Stochastic process

Επίσης:

Markov chain

A Markov chain, named for Andrey Markov, is a mathematical system that undergoes transitions from one state to another (from a finite or countable number of possible states) in a chainlike manner. It is a random process characterized as memoryless: the next state depends only on the current state and not on the entire past. This specific kind of «memorylessness» is called the Markov property. Markov chains have many applications as statistical models of real-world processes.

Περισσότερα επίσης στη Wikipedia: Markov chain

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