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Cox point processes driven by Ornstein-Uhlenbeck type processes. (English) Zbl 1177.60051
Summary: The paper is devoted to the development of Cox point processes driven by nonnegative processes of Ornstein-Uhlenbeck (OU) type. Starting with multivariate temporal processes we develop formula for the cross pair correlation function. Further filtering problem is studied by means of two different approaches, either with discretization in time or through the point process densities with respect to the Poisson process. The first approach is described mainly analytically while in the second case we obtain numerical solution by means of MCMC. The Metropolis-Hastings birth-death chain for filtering can be also used when estimating the parameters of the model. In the second part we try to develop spatial and spatio-temporal Cox point processes driven by a stationary OU process. The generating functional of the point process is derived which enables evaluation of basic characteristics. Finally a simulation algorithm is given and applied.

MSC:
60G55 Point processes (e.g., Poisson, Cox, Hawkes processes)
62M20 Inference from stochastic processes and prediction
62M30 Inference from spatial processes
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