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Asymptotic theory in bipartite graph models with a growing number of parameters

  • Published:2022-10-25 Issue: Volume: Page:
  • ISSN:0319-5724
  • Container-title:Canadian Journal of Statistics
  • language:en
  • Short-container-title:Can J Statistics

Author:

Fan Yifan1,Jiang Binyan2,Yan Ting3,Zhang Yuan4ORCID

Affiliation:

1. School of Mathematical Sciences Guizhou Normal University Guiyang Guizhou China

2. Department of Applied Mathematics Hong Kong Polytechnic University Hung Hom Hong Kong China

3. Department of Statistics Central China Normal University Wuhan Hubei China

4. Department of Statistics The Ohio State University Columbus Ohio USA

Funder

National Natural Science Foundation of China

Publisher

Wiley

Subject

Statistics, Probability and Uncertainty,Statistics and Probability

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Differentially private estimation in a class of bipartite graph models;Communications in Statistics - Theory and Methods;2023-08-21

2. Time‐varying β‐model for dynamic directed networks;Scandinavian Journal of Statistics;2023-05-11

3. Asymptotic theory in network models with covariates and a growing number of node parameters;Annals of the Institute of Statistical Mathematics;2022-09-02
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