2 citations · 3 across the 3 of their papers we have counts for
4 papers
Latent process models for functional network data
Peter W. MacDonald, Elizaveta Levina, Ji Zhu
Network data are often sampled with auxiliary information or collected through the observation of a complex system over time, leading to multiple network snapshots indexed by a con…
Approximate Post-Selective Inference for Regression with the Group LASSO
Snigdha Panigrahi, Peter W. MacDonald, Daniel Kessler
After selection with the Group LASSO (or generalized variants such as the overlapping, sparse, or standardized Group LASSO), inference for the selected parameters is unreliable in…
Latent space models for multiplex networks with shared structure
Peter W. MacDonald, Elizaveta Levina, Ji Zhu
Latent space models are frequently used for modeling single-layer networks and include many popular special cases, such as the stochastic block model and the random dot product gra…
Dynamic adaptive procedures that control the false discovery rate
Peter MacDonald, Kun Liang, Arnold Janssen
In the multiple testing problem with independent tests, the classical linear step-up procedure controls the false discovery rate (FDR) at level , where is the proportio…