scholarly journals Joint degree distributions of preferential attachment random graphs

2017 ◽  
Vol 49 (2) ◽  
pp. 368-387 ◽  
Author(s):  
Erol Peköz ◽  
Adrian Röllin ◽  
Nathan Ross

Abstract We study the joint degree counts in linear preferential attachment random graphs and find a simple representation for the limit distribution in infinite sequence space. We show weak convergence with respect to the p-norm topology for appropriate p and also provide optimal rates of convergence of the finite-dimensional distributions. The results hold for models with any general initial seed graph and any fixed number of initial outgoing edges per vertex; we generate nontree graphs using both a lumping and a sequential rule. Convergence of the order statistics and optimal rates of convergence to the maximum of the degrees is also established.

2009 ◽  
Vol 02 (04) ◽  
pp. 545-555 ◽  
Author(s):  
Christophe Chesneau

We consider a density estimation problem with a change-point. The contribution of the paper is theoretical: we develop an adaptive estimator based on wavelet block thresholding and we evaluate these performances via the minimax approach under the 𝕃p risk with p ≥ 1 over a wide range of function classes: the Besov classes, [Formula: see text] (with no particular restriction on the parameters π and r). Under this general framework, we prove that it attains near optimal rates of convergence.


2010 ◽  
Vol 38 (4) ◽  
pp. 2118-2144 ◽  
Author(s):  
T. Tony Cai ◽  
Cun-Hui Zhang ◽  
Harrison H. Zhou

2013 ◽  
Vol 45 (03) ◽  
pp. 876-893 ◽  
Author(s):  
Nathan Ross

For a family of linear preferential attachment graphs, we provide rates of convergence for the total variation distance between the degree of a randomly chosen vertex and an appropriate power law distribution as the number of vertices tends to ∞. Our proof uses a new formulation of Stein's method for the negative binomial distribution, which stems from a distributional transformation that has the negative binomial distributions as the only fixed points.


2013 ◽  
Vol 23 (3) ◽  
pp. 1188-1218 ◽  
Author(s):  
Erol A. Peköz ◽  
Adrian Röllin ◽  
Nathan Ross

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