报告人：晏挺（华中师范大学教授）

报告题目：Undirected network models with degree heterogeneity and homophily

报告摘要：The degree heterogeneity and homophily are two typical features in network data. In this paper, we formulate a general model for undirected networks with these two features and present the moment estimation for inferring the degree and homophily parameters. Our model only specifies a marginal distribution on each edge in weighted or unweighted graphs and admits the non-independent dyad structures unlike previous works that assume independent dyads. We establish a unified theoretical framework under which the consistency of the moment estimator hold as the size of networks goes to infinity. We also derive its asymptotic representation that can be used to characterize its limiting distribution. The asymptotic representation of the estimator of the homophily parameter contains a bias term. Valid inference necessitates bias-correction. Several applications are provided to illustrate the theoretical result.

报告时间：2018年9月19日（星期三）下午3：45 -4：30.

报告地点：科技楼南楼702