arXiv · 1103.3958
Geometry of iteration stable tessellations: Connection with Poisson hyperplanes
Abstract
Since the seminal work by Nagel and Weiss, the iteration stable (STIT) tessellations have attracted considerable interest in stochastic geometry as a natural and flexible, yet analytically tractable model for hierarchical spatial cell-splitting and crack-formation processes. We provide in this paper a fundamental link between typical characteristics of STIT tessellations and those of suitable mixtures of Poisson hyperplane tessellations using martingale techniques and general theory of piecewise deterministic Markov processes (PDMPs). As applications, new mean values and new distributional results for the STIT model are obtained.
Explore related subjects
Keep this discovery
Tomasz Schreiber, Christoph Thaele. 2014-12-24. Geometry of iteration stable tessellations: Connection with Poisson hyperplanes. https://doi.org/10.3150/12-bej424
Cite the original work for its findings. Save a collection to share your selection of sources.