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Respondent driven sampling and sparse graph convergence
classification
🧮 math.PR
keywords
sequencesparsegraphongraphsproceduresamplingchainsclumping
read the original abstract
We consider a particular respondent-driven sampling procedure governed by a graphon. By a specific clumping procedure of the sampled vertices we construct a sequence of sparse graphs. If the sequence of the vertex-sets is stationary then the sequence of sparse graphs converge to the governing graphon in the cut-metric. The tools used are concentration inequality for Markov chains and the Stein-Chen method.
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