On averages seen by arrivals in discrete time

Abstract
A study is made of the limiting behavior of averages from an embedded stochastic process obtained by sampling a discrete-time stochastic process at points of an associated discrete-time stochastic point process. It is determined when the limit of the averages from the embedded process coincides with the limit of the averages from the original process. In a certain stationary Markov framework, this happens if and only if the point process is a Bernoulli sequence with future points being independent of the state of the Markov process.

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