Central limit theorems via Stein's method for randomized experiments
under interference

v1v2 (latest)

Central limit theorems via Stein's method for randomized experiments under interference

9 April 2018

ArXiv (abs)PDF HTML

Papers citing "Central limit theorems via Stein's method for randomized experiments under interference"

7 / 7 papers shown

Title
Double Machine Learning for Causal Inference under Shared-State Interference Chris Hays Manish Raghavan CML 78 0 0 10 Apr 2025
Treatment Effect Estimation with Observational Network Data using Machine Learning Corinne Emmenegger Meta-Lina Spohn Timon Elmer Peter Buhlmann CML 204 3 1 20 Jan 2025
Higher-Order Causal Message Passing for Experimentation with Complex Interference Mohsen Bayati Yuwei Luo William Overman Sadegh Shirani Ruoxuan Xiong 84 0 0 01 Nov 2024
Design and Analysis of Bipartite Experiments under a Linear Exposure-Response Model Christopher Harshaw Fredrik Sävje David Eisenstat Vahab Mirrokni Jean Pouget-Abadie 104 34 0 11 Mar 2021
Panel Experiments and Dynamic Causal Effects: A Finite Population Perspective Iavor Bojinov Ashesh Rambachan N. Shephard 56 49 0 22 Mar 2020
Average treatment effects in the presence of unknown interference F. Sävje P. Aronow M. Hudgens CML 113 157 0 17 Nov 2017
Bias and high-dimensional adjustment in observational studies of peer effects Dean Eckles E. Bakshy 42 62 0 14 Jun 2017