4 papers
Detecting Sparse Heterogeneous Mixtures in a Two-Sample Problem
Rong Huang
We consider the problem of detecting sparse heterogeneous mixtures in a two-sample setting from a nonparametric perspective, where the effect manifests itself as a positive shift.…
Sensitivity Analysis of Treatment Effect to Unmeasured Confounding in Observational Studies with Survival and Competing Risks Outcomes
Rong Huang, Ronghui Xu, Parambir S. Dulai
No unmeasured confounding is often assumed in estimating treatment effects in observational data when using approaches such as propensity scores and inverse probability weighting.…
Detection of Sparse Positive Dependence
Ery Arias-Castro, Rong Huang, Nicolas Verzelen
In a bivariate setting, we consider the problem of detecting a sparse contamination or mixture component, where the effect manifests itself as a positive dependence between the var…
The Sparse Variance Contamination Model
Ery Arias-Castro, Rong Huang
We consider a Gaussian contamination (i.e., mixture) model where the contamination manifests itself as a change in variance. We study this model in various asymptotic regimes, in p…