A familiar relation links the densities that result for the intersection of a convex body and straight lines under uniform isotropic randomness with those that result under weighted randomness. An extension of this relation to the intersection of more general domains is utilized to obtain the variance of the n-dimensional measure of the intersection of two bodies under uniform isotropic randomness. The formula for the variance contains the point-pair distance distributions for the two domains — or the closely related geometric reduction factors. The result is applied to derive the variance of the intersection of a Boolean scheme, i.e. a stationary, isotropic Poisson process of domains, with a fixed sampling region
summary:Oscillating point patterns are point processes derived from a locally finite set in a finite...
This dissertation aims to investigate several aspects of the Poisson convergence: Poisson approximat...
We compare three methods used in stochastic geometry in order to investigate asymp- totic behaviour ...
A familiar relation links the densities that result for the intersection of a convex body and straig...
This dissertation is devoted to three classical models of random geometry: tessellations, convex hul...
Let $K \subset \R^d$ be a smooth convex set and let $\P_\la$ be a Poisson point process on $\R^d$ of...
summary:A complete and sufficient statistic is found for stationary marked Poisson processes with a ...
If n points are independently and uniformly distributed in a large rectangular parallelepiped, A in ...
Let ξ<SUB>1</SUB>, ξ<SUB>2</SUB>,… be a Poisson point process of density λ on (0,∞)<SUP>d</SUP>, d ≥...
International audienceThis book is centered on the mathematical analysis of random structures embedd...
grantor: University of TorontoInfinite variance random variables are used to model process...
This is the first of a series of papers treating randomly sampled random processes. Spectral analysi...
AbstractThe probability distributions (defined in an ergodic sense) of various aggregates of random ...
Let Kn be the convex hull of i.i.d. random variables distributed according to the standard normal di...
International audienceLet K be a convex set in R d and let K λ be the convex hull of a homogeneous P...
summary:Oscillating point patterns are point processes derived from a locally finite set in a finite...
This dissertation aims to investigate several aspects of the Poisson convergence: Poisson approximat...
We compare three methods used in stochastic geometry in order to investigate asymp- totic behaviour ...
A familiar relation links the densities that result for the intersection of a convex body and straig...
This dissertation is devoted to three classical models of random geometry: tessellations, convex hul...
Let $K \subset \R^d$ be a smooth convex set and let $\P_\la$ be a Poisson point process on $\R^d$ of...
summary:A complete and sufficient statistic is found for stationary marked Poisson processes with a ...
If n points are independently and uniformly distributed in a large rectangular parallelepiped, A in ...
Let ξ<SUB>1</SUB>, ξ<SUB>2</SUB>,… be a Poisson point process of density λ on (0,∞)<SUP>d</SUP>, d ≥...
International audienceThis book is centered on the mathematical analysis of random structures embedd...
grantor: University of TorontoInfinite variance random variables are used to model process...
This is the first of a series of papers treating randomly sampled random processes. Spectral analysi...
AbstractThe probability distributions (defined in an ergodic sense) of various aggregates of random ...
Let Kn be the convex hull of i.i.d. random variables distributed according to the standard normal di...
International audienceLet K be a convex set in R d and let K λ be the convex hull of a homogeneous P...
summary:Oscillating point patterns are point processes derived from a locally finite set in a finite...
This dissertation aims to investigate several aspects of the Poisson convergence: Poisson approximat...
We compare three methods used in stochastic geometry in order to investigate asymp- totic behaviour ...