most citedL-2 Regularized maximum likelihood for -model in large and sparse networks

2 citations · 2 across the 1 of their papers we have counts for

collaborators

1 paper

stat.ME2021★ 2 cited

L-2 Regularized maximum likelihood for -model in large and sparse networks

Meijia Shao, Yu Zhang, Qiuping Wang +3

The -model is a powerful tool for modeling large and sparse networks driven by degree heterogeneity, where many network models become infeasible due to computational challenge a…