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Mathematically, if ''X''(''t''), ''t'' > 0, is a stochastic process, the Markov property states that Markov processes are typically termed ''(time-) homogeneous'' if ...

...kind is called a [[deret waktu]] in applications) or a region of space (a stochastic process being called a [[random field]]). Familiar examples of time series Mathematically, a stochastic process is usually defined as an indexed collection of [[variabel acak]] ...

A matrix is a [[stochastic matrix]] if and only if it is the matrix of transition probabilities of som ...ions, particularly [[population process]]es, which are useful in modélling processes that are (at léast) analogous to biological populations. Markov chains have ...

...anasios Papoulis]] (1984), ''Probability, Random Variables, and Stochastic Processes'', second edition. New York: McGraw-Hill. ...