8 citations · 8 across the 7 of their papers we have counts for
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stat.ME2015★ 8 cited
Goodness of fit of logistic models for random graphs
Pierre Latouche, Stéphane Robin, Sarah Ouadah
Logistic regression is a natural and simple tool to understand how covariates contribute to explain the topology of a binary network. Once the model fitted, the practitioner is int…
math.ST2015
Degree-based goodness-of-fit tests for heterogeneous random graph models : independent and exchangeable cases
Sarah Ouadah, Stéphane Robin, Pierre Latouche
The degrees are a classical and relevant way to study the topology of a network. They can be used to assess the goodness-of-fit for a given random graph model. In this paper we int…