On sparsity, power-law and clustering properties of graphex processes

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On sparsity, power-law and clustering properties of graphex processes

10 August 2017

François Caron

Judith Rousseau

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Papers citing "On sparsity, power-law and clustering properties of graphex processes"

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Title
The Normal-Generalised Gamma-Pareto process: A novel pure-jump Lévy process with flexible tail and jump-activity properties Fadhel Ayed Juho Lee François Caron 64 3 0 19 Jun 2020
Beyond the Chinese Restaurant and Pitman-Yor processes: Statistical Models with Double Power-law Behavior Fadhel Ayed Juho Lee François Caron 20 14 0 13 Feb 2019
Bootstrap estimators for the tail-index and for the count statistics of graphex processes Zacharie Naulet Daniel M. Roy Ekansh Sharma Victor Veitch 37 3 0 05 Dec 2017
Sampling and Estimation for (Sparse) Exchangeable Graphs Victor Veitch Daniel M. Roy 52 49 0 02 Nov 2016
Exchangeable Random Measures for Sparse and Modular Graphs with Overlapping Communities A. Todeschini Xenia Miscouridou François Caron 104 43 0 05 Feb 2016
The Class of Random Graphs Arising from Exchangeable Random Measures Victor Veitch Daniel M. Roy 163 102 0 07 Dec 2015
Rate-optimal graphon estimation Chao Gao Yu Lu Harrison H. Zhou 150 221 0 21 Oct 2014
Bayesian Models of Graphs, Arrays and Other Exchangeable Random Structures Peter Orbanz Daniel M. Roy 169 245 0 30 Dec 2013
Nonparametric graphon estimation P. Wolfe S. Olhede 158 203 0 23 Sep 2013
Matrix estimation by Universal Singular Value Thresholding S. Chatterjee 432 529 0 06 Dec 2012
The method of moments and degree distributions for network models Peter J. Bickel Aiyou Chen Elizaveta Levina 147 243 0 23 Feb 2012