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Asymptotic distribution in affiliation finite discrete weighted networks with an increasing degree sequence

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  • Jing Luo
  • Hong Qin
  • Zhenghong Wang

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.

Suggested Citation

  • Jing Luo & Hong Qin & Zhenghong Wang, 2019. "Asymptotic distribution in affiliation finite discrete weighted networks with an increasing degree sequence," Communications in Statistics - Theory and Methods, Taylor & Francis Journals, vol. 48(17), pages 4195-4205, September.
    • Handle: RePEc:taf:lstaxx:v:48:y:2019:i:17:p:4195-4205
    DOI: 10.1080/03610926.2018.1487984
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