2008
DOI: 10.1214/009117907000000259
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Variance asymptotics and central limit theorems for generalized growth processes with applications to convex hulls and maximal points

Abstract: We show that the random point measures induced by vertices in the convex hull of a Poisson sample on the unit ball, when properly scaled and centered, converge to those of a mean zero Gaussian field. We establish limiting variance and covariance asymptotics in terms of the density of the Poisson sample. Similar results hold for the point measures induced by the maximal points in a Poisson sample. The approach involves introducing a generalized spatial birth growth process allowing for cell overlap.

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Cited by 42 publications
(91 citation statements)
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“…, d − 1), can be estimated using the above methods as shown in [7] and [13]. Very recently, Schreiber and Yukich [18] determined the variance of f 0 (K n ) asymptotically when K is the unit ball, a significant breakthrough. Hopefully, their methods can work for all f s (K n ) and V s (K n ) as well.…”
Section: History and Resultsmentioning
confidence: 99%
“…, d − 1), can be estimated using the above methods as shown in [7] and [13]. Very recently, Schreiber and Yukich [18] determined the variance of f 0 (K n ) asymptotically when K is the unit ball, a significant breakthrough. Hopefully, their methods can work for all f s (K n ) and V s (K n ) as well.…”
Section: History and Resultsmentioning
confidence: 99%
“…General intrinsic volumes are treated in [11] under a weak smoothness assumption. Recently, even variance estimates, laws of large numbers and central limit theorems have been proved in different settings in a sequence of contributions, for instance by Bárány, Reitzner, Schreiber, Vu and Yukich; see [3,5,29,30,39,44,45]. For more details on the current state-of-the-art of this line of research, see the survey papers by Weil and Wieacker [46], Gruber [16] and Schneider [36], and the recent monograph of Schneider and Weil [37].…”
Section: Introductionmentioning
confidence: 99%
“…In view of the exact formulae for E N n+1 , E N n+2 , and E N 2 n+2 arising from Theorem 1, we obtain, as immediate consequences of Theorem 2, the exact formulae This shows that A(T ) −2 var D n ∼ 28 27 n −2 log n as n → ∞. Proof of Theorem 2.…”
Section: Theorem 2 the Expected Value And The Variance Of D N Are Gimentioning
confidence: 60%