Asymptotic distribution in affiliation finite discrete weighted networks with an increasing degree sequence
Abstract The asymptotic normality of a fixed number of the maximum likelihood estimators (MLEs) in the affiliation finite discrete weighted networks with an increasing degree sequence has been established recently. In this article, we further derive a central limit theorem for a linear combination of all the MLEs with an increasing dimension. Simulation studies are provided to illustrate the asymptotic results.