TY - JOUR
T1 - Gaussian random particles with flexible Hausdorff dimension
AU - Hansen, Linda V.
AU - Thorarinsdottir, Thordis L.
AU - Ovcharov, Evgeni
AU - Gneiting, Tilmann
AU - Richards, Donald
N1 - Publisher Copyright:
© Applied Probability Trust 2015.
PY - 2015/6/1
Y1 - 2015/6/1
N2 - 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.
AB - 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.
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U2 - 10.1017/s0001867800007874
DO - 10.1017/s0001867800007874
M3 - Article
AN - SCOPUS:84940395629
SN - 0001-8678
VL - 47
SP - 307
EP - 327
JO - Advances in Applied Probability
JF - Advances in Applied Probability
IS - 2
ER -