Consistently estimating graph statistics using Aggregated Relational Data. - Emily Breza; Arun G. Chandrasekhar; Tyler H. McCormick; Mengjie Pan (CoRR, 2019)

Identifying the latent space geometry of network models through analysis of curvature. - Shane Lubold; Arun G. Chandrasekhar; Tyler H. McCormick (CoRR, 2020)

Non-robustness of diffusion estimates on networks with measurement error. - Arun G. Chandrasekhar; Paul Goldsmith-Pinkham; Tyler H. McCormick; Samuel Thau; Jerry Wei (CoRR, 2024)

Robustly estimating heterogeneity in factorial data using Rashomon Partitions. - Aparajithan Venkateswaran; Anirudh Sankar; Arun G. Chandrasekhar; Tyler H. McCormick (CoRR, 2024)

Model-Based Inference and Experimental Design for Interference Using Partial Network Data. - Steven Wilkins-Reeves; Shane Lubold; Arun G. Chandrasekhar; Tyler H. McCormick (CoRR, 2024)