1 citations · 2 across the 2 of their papers we have counts for
3 papers
Model-Based Inference and Experimental Design for Interference Using Partial Network Data
Steven Wilkins Reeves, Shane Lubold, Arun G. Chandrasekhar +1
The stable unit treatment value assumption states that the outcome of an individual is not affected by the treatment statuses of others, however in many real world applications, tr…
Robustly estimating heterogeneity in factorial data using Rashomon Partitions
Aparajithan Venkateswaran, Anirudh Sankar, Arun G. Chandrasekhar +1
In both observational data and randomized control trials, researchers select statistical models to articulate how the outcome of interest varies with combinations of observable cov…
Non-robustness of diffusion estimates on networks with measurement error
Arun G. Chandrasekhar, Paul Goldsmith-Pinkham, Tyler H. McCormick +2
Network diffusion models are used to study disease transmission, information spread, technology adoption, and other socio-economic processes. We show that estimates of these diffus…