2 citations · 4 across the 14 of their papers we have counts for
4 papers · 1 filter
Canonical correlation regression with noisy data
Isaac Meza, Rahul Singh
We study instrumental variable regression in data rich environments. The goal is to estimate a linear model from many noisy covariates and many noisy instruments. Our key assumptio…
Uniform inference for kernel instrumental variable regression
Marvin Lob, Rahul Singh, Suhas Vijaykumar
Instrumental variable regression is a foundational tool for causal analysis across the social and biomedical sciences. Recent advances use kernel methods to estimate nonparametric…
A Personalized Exercise Assistant using Reinforcement Learning (PEARL): Results from a four-arm Randomized-controlled Trial
Amy Armento Lee, Narayan Hegde, Nina Deliu +16
Consistent physical inactivity poses a major global health challenge. Mobile health (mHealth) interventions, particularly Just-in-Time Adaptive Interventions (JITAIs), offer a prom…
Placebo Discontinuity Design
Rahul Singh, Moses Stewart
Standard regression discontinuity design (RDD) models rely on the continuity of expected potential outcomes at the cutoff. The standard continuity assumption can be violated by str…