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most citedOptimal Bayesian Estimation for Random Dot Product Graphs

3 citations · 4 across the 5 of their papers we have counts for

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math.ST2019

Efficient Estimation for Random Dot Product Graphs via a One-step Procedure

Fangzheng Xie, Yanxun Xu

We propose a one-step procedure to estimate the latent positions in random dot product graphs efficiently. Unlike the classical spectral-based methods such as the adjacency and Lap…

math.ST2019★ 3 cited

Optimal Bayesian Estimation for Random Dot Product Graphs

Fangzheng Xie, Yanxun Xu

We propose a Bayesian approach, called the posterior spectral embedding, for estimating the latent positions in random dot product graphs, and prove its optimality. Unlike the clas…