4 papers
Classification-Powered Conformal Inference for Zero-inflated Outcomes
Zhirui Li, Ricardo Diaz-Rincon, Benjamin Shickel +3
Zero-inflated outcomes, where responses are zero with positive probability and otherwise continuous, are common in biomedical, environmental, and social science studies. We propose…
Inference in high-dimensional logistic regression under tensor network dependence
Josh Miles, Sohom Bhattacharya
We investigate the problem of statistical inference for logistic regression with high-dimensional covariates in settings where dependence among individuals is induced by an underly…
Causal inference under interference: computational barriers and algorithmic solutions
Sohom Bhattacharya, Subhabrata Sen
We study causal effect estimation under interference from network data. We work under the chain-graph formulation pioneered in Tchetgen Tchetgen et. al (2021). Our first result sho…
Causal effect estimation under network interference with mean-field methods
Sohom Bhattacharya, Subhabrata Sen
We study causal effect estimation from observational data under interference. The interference pattern is captured by an observed network. We adopt the chain graph framework of Tch…