J ul 2 01 6 Dynamic network models and graphon estimation

Abstract

In the present paper we consider a dynamic stochastic network model. The objective is estimation of the tensor of connection probabilities Λ when it is generated by a Dynamic Stochastic Block Model (DSBM) or a dynamic graphon. In particular, in the context of DSBM, we derive penalized least squares estimator Λ̂ of Λ and show that Λ̂ satisfies an oracle… (More)

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