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A stochastic process describes the evolution of random variables/systems over time and/or space and/or any other index set. It has applications in areas such as econometrics, weather, signal processing, etc. Examples: Gaussian process, Markov process, etc.

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Controlling random deviation in a birth-death process

I have a process in which $X$ is a molecule going through birth ($x \rightarrow x + 1$) and death $(x \rightarrow x - 1)$. Rate of both reactions, namely synthesis rate for birth and elimination rate …
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