We have until now been concerned mainly with sequences of independent and identically distributed stochastic variables. When we turn to situations in which we believe that either the variables are dependent upon each other or their probability distributions change with time, or both, the mathematical tools take on a quite different appearance. The relevant tool for studying such situations is the theory of random functions, that is, the theory of stochastic processes.
KeywordsMarkov Chain Stochastic Process Stochastic Variable Versus Figure Independent Realization
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