Abstract
Sequences of independent and identically distributed random variables are stochastic processes, but they are not always interesting as stochastic models because they behave more or less in the same way. In order to introduce more variability, one can allow for some dependence on the past in the manner of deterministic recurrence equations.
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Brémaud, P. (2020). Discrete-Time Markov Chains. In: Markov Chains. Texts in Applied Mathematics, vol 31. Springer, Cham. https://doi.org/10.1007/978-3-030-45982-6_2
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DOI: https://doi.org/10.1007/978-3-030-45982-6_2
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