English

Gaussian Random Particles with Flexible Hausdorff Dimension

Probability 2015-02-13 v3 Statistics Theory Applications Statistics Theory

Abstract

Gaussian particles provide a flexible framework for modelling and simulating three-dimensional star-shaped random sets. In our framework, the radial function of the particle arises from a kernel smoothing, and is associated with an isotropic random field on the sphere. If the kernel is a von Mises--Fisher density, or uniform on a spherical cap, the correlation function of the associated random field admits a closed form expression. The Hausdorff dimension of the surface of the Gaussian particle reflects the decay of the correlation function at the origin, as quantified by the fractal index. Under power kernels we obtain particles with boundaries of any Hausdorff dimension between 2 and 3.

Keywords

Cite

@article{arxiv.1502.01750,
  title  = {Gaussian Random Particles with Flexible Hausdorff Dimension},
  author = {Linda V. Hansen and Thordis L. Thorarinsdottir and Evgeni Ovcharov and Tilmann Gneiting and Donald Richards},
  journal= {arXiv preprint arXiv:1502.01750},
  year   = {2015}
}

Comments

22 pages, 5 figures, 3 tables; to appear in Advances in Applied Probability

R2 v1 2026-06-22T08:23:23.560Z