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Continuous stochastic process: Stochastic process, Well-behaved, Probability space, Mutatis mutandis, Normed space, Metric space, Cumulative distribution function, Random variable - Brossura

 
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Please note that the content of this book primarily consists of articles available from Wikipedia or other free sources online. In the theory of stochastic processes, there are many senses in which a process may be said to be continuous" as a function of its "time" parameter. Continuity is a nice property for (the sample paths of) a process to have, since it implies that they are well- behaved in some sense, and, therefore, much easier to analyse."

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