Showing math.STShow all
3 papers · 1 filter
math.ST2026
A Design-Based Minimax Theory for Network Experiments
Vardis Kandiros, Christopher Harshaw, Fredrik Sävje
Network experiments are used throughout the social and medical sciences to investigate causal effects under the presence of interference. While a large body of work has developed i…
math.ST2026
On the Impossibility of Specification Testing of Interference Models Based on Exposure Mappings
Chao Gao, Christopher Harshaw, Fredrik Sävje +1
Researchers use interference models based on exposure mappings to facilitate estimation of causal effects in randomized experiments with interference. To test the veracity of such…
math.ST2026
Sigmoid-FTRL: Design-Based Adaptive Neyman Allocation for AIPW Estimators
Fangyi Chen, Shu Ge, Jian Qian +1
We consider the problem of Adaptive Neyman Allocation for the class of AIPW estimators in a design-based setting, where potential outcomes and covariates are deterministic. As each…