939 citations · 3.6k across the 51 of their papers we have counts for
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math.ST2019
Matrix Means and a Novel High-Dimensional Shrinkage Phenomenon
Asad Lodhia, Keith Levin, Elizaveta Levina
Many statistical settings call for estimating a population parameter, most typically the population mean, based on a sample of matrices. The most natural estimate of the population…
math.ST2019★ 22 cited
Bootstrapping Networks with Latent Space Structure
Keith Levin, Elizaveta Levina
A core problem in statistical network analysis is to develop network analogues of classical techniques. The problem of bootstrapping network data stands out as especially challengi…
math.ST2019★ 3 cited
Recovering shared structure from multiple networks with unknown edge distributions
Keith Levin, Asad Lodhia, Elizaveta Levina
In increasingly many settings, data sets consist of multiple samples from a population of networks, with vertices aligned across these networks. For example, brain connectivity net…