High Quality Content by WIKIPEDIA articles! A Cox process (named after the statistician Sir David Cox), also known as a doubly stochastic Poisson process or mixed Poisson process is a stochastic process which is a generalization of a Poisson process. In the case of Cox processes, the time-dependent intensity is a stochastic process which is separated from the Poisson process. An example would be a spike train of a sensory neuron with external stimulation. If the stimulation is a stochastic process and it modulates the firing rate (intensity function) of the neuron, then the spike train can be thought of as a realization of a Cox process.

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