Generalised shot noise Cox processes

By Jesper Møller, Giovanni Luca Torrisi. Advances in Applied Probability, 2005

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Bayesian mixture modeling for spatial Poisson process intensities, with applications to extreme value analysis (2007, background): “processes are studied by Mller (2003) and Mller and Torrisi (2005) , though the focus”
Lévy-based Cox point processes (2008, background): “Introduction Cox point processes constitute one of the most important and versatile classes of point process models for clustered point patterns [12], [13], [29], [31], [32], [41].”
Modern Statistics for Spatial Point Processes * (2007, unknown): “(11) Shot noise Cox process can be extended in various interesting ways by allowing the kernel k to depend on a random band-width b and replacing by a Poisson or non-Poisson process model for the points (c, , b) (Møller & Torrisi, 2005).”
Two‐step estimation for inhomogeneous spatial point processes (2009, methodology): “We leave it as a topic of further research to explore in more detail log-Gaussian Cox processes, Neyman–Scott processes with other types of offspring densities, or perhaps more flexible classes of cluster processes like generalized shot noise Cox processes (Møller and Torrisi, 2005).”
Perfect simulation of Hawkes processes (2005, background): “Finally, we notice that it would be interesting to extend our ideas to spatial Hawkes processes (see [19] and [20]).”