Advances in Applied Probability · 1969 · 85 citations · 9 references
Natural SciencesMathematicsPhysicsMathematical PhysicsProbability TheoryStochastic ProcessesPoisson ProcessesProbability DistributionsVariation Over Time
Random s‑flats in Euclidean space E^d are used to model many physical phenomena, with static cases typically 0 ≤ s < d ≤ 3 and time‑varying cases requiring d = 4. The authors define simple models by assuming high stochastic independence and uniformity among the random flats.
This is the first part of a three part work, the common setting being E d , Euclidean space of d dimensions. Many random physical phenomena, often in the form of structures, admit models which are assemblages of random s -flats in E d . Indeed, taking s = 0, any n -sample from a d -dimensional distribution may of course be so regarded! For static phenomena generally 0 ≦ s < d ≦ 3, while 4 is to be substituted for 3 if time variation is allowed. By postulating a high degree of stochastic independence and uniformity, a variety of “simple” models is defined. However, their investigation poses problems in geometrical probability of a wide range of difficulty; the solutions of many of which are still far from complete.
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Kenneth O. May, Garrett Birkhoff, Saunders MacLane · Econometrica · 1954 · 463 citations
On the homogeneous planar Poisson point process
R. E. Miles · Mathematical Biosciences · 1970 · 285 citations
An Introduction to the Geometry of N Dimensions
H. T. H. Piaggio · Nature · 1930 · 274 citations